{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\dudtk\Desktop\Leader visits and nuclear pursuit_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 2 Jun 2025, 22:21:15

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. * Set working directory * 
. 
. cd "C:\Users\dudtk\Desktop\research and articles\submit\leader visit and nuclear pursuit\data"
{res}C:\Users\dudtk\Desktop\research and articles\submit\leader visit and nuclear pursuit\data
{txt}
{com}. use "Replication_main.dta"
{txt}
{com}. // change working directory
. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. *** Main results ***
. xtset cowcc year
{res}
{col 1}{txt:Panel variable: }{res:cowcc}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1945}}{txt: to }{res:{bind:2007}}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Table 1: The determinants of superpower leader visit **
. logit vis_us l.us_ally l.conflict l.gdpcap_ln l.industry l.nuke_latency l.majorpower l.demo l.npt_rati if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-840.68673}  
Iteration 1:{space 3}log pseudolikelihood = {res:-731.29812}  
Iteration 2:{space 3}log pseudolikelihood = {res:-698.74104}  
Iteration 3:{space 3}log pseudolikelihood = {res:-697.27652}  
Iteration 4:{space 3}log pseudolikelihood = {res:-697.27405}  
Iteration 5:{space 3}log pseudolikelihood = {res:-697.27405}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,398}
{txt}{col 57}{lalign 13:Wald chi2({res:8})}{col 70} = {res}{ralign 6:325.02}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-697.27405}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1706}

{txt}{ralign 78:(Std. err. adjusted for {res:132} clusters in {res:cowcc})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      vis_us{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}us_ally {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9577568{col 26}{space 2} .2831084{col 37}{space 1}    3.38{col 46}{space 3}0.001{col 54}{space 4} .4028744{col 67}{space 3} 1.512639
{txt}{space 12} {c |}
{space 4}conflict {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0338107{col 26}{space 2} .2545615{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.5327421{col 67}{space 3} .4651207
{txt}{space 12} {c |}
{space 3}gdpcap_ln {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .4425569{col 26}{space 2} .1482604{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .1519719{col 67}{space 3} .7331419
{txt}{space 12} {c |}
{space 4}industry {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 1.146141{col 26}{space 2} .2704511{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4}  .616067{col 67}{space 3} 1.676216
{txt}{space 12} {c |}
nuke_latency {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .5856647{col 26}{space 2}  .274506{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0476429{col 67}{space 3} 1.123687
{txt}{space 12} {c |}
{space 2}majorpower {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .8925149{col 26}{space 2} .2715245{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4} .3603367{col 67}{space 3} 1.424693
{txt}{space 12} {c |}
{space 8}demo {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.1001984{col 26}{space 2} .3410959{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-.7687341{col 67}{space 3} .5683373
{txt}{space 12} {c |}
{space 4}npt_rati {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.1022939{col 26}{space 2} .1303383{col 37}{space 1}   -0.78{col 46}{space 3}0.433{col 54}{space 4}-.3577523{col 67}{space 3} .1531644
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-7.743788{col 26}{space 2} 1.188432{col 37}{space 1}   -6.52{col 46}{space 3}0.000{col 54}{space 4}-10.07307{col 67}{space 3}-5.414504
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit vis_rus l.soviet_ally l.conflict l.gdpcap_ln l.industry l.nuke_latency l.majorpower l.demo l.npt_rati if year<=1991, cluster(cowcc) //Model2

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-596.27634}  
Iteration 1:{space 3}log pseudolikelihood = {res:-503.21712}  
Iteration 2:{space 3}log pseudolikelihood = {res:-433.94137}  
Iteration 3:{space 3}log pseudolikelihood = {res:-431.51183}  
Iteration 4:{space 3}log pseudolikelihood = {res:-431.49925}  
Iteration 5:{space 3}log pseudolikelihood = {res:-431.49925}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,398}
{txt}{col 57}{lalign 13:Wald chi2({res:8})}{col 70} = {res}{ralign 6:130.80}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-431.49925}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2763}

{txt}{ralign 78:(Std. err. adjusted for {res:132} clusters in {res:cowcc})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     vis_rus{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}soviet_ally {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 2.945303{col 26}{space 2} .3971821{col 37}{space 1}    7.42{col 46}{space 3}0.000{col 54}{space 4} 2.166841{col 67}{space 3} 3.723766
{txt}{space 12} {c |}
{space 4}conflict {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.8063781{col 26}{space 2} .5607105{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4} -1.90535{col 67}{space 3} .2925943
{txt}{space 12} {c |}
{space 3}gdpcap_ln {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .3800679{col 26}{space 2} .3036821{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.2151381{col 67}{space 3} .9752739
{txt}{space 12} {c |}
{space 4}industry {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .8229163{col 26}{space 2} .4213126{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0028412{col 67}{space 3} 1.648674
{txt}{space 12} {c |}
nuke_latency {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .8976976{col 26}{space 2} .5341993{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.1493138{col 67}{space 3} 1.944709
{txt}{space 12} {c |}
{space 2}majorpower {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .8728938{col 26}{space 2}  .457927{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4}-.0246266{col 67}{space 3} 1.770414
{txt}{space 12} {c |}
{space 8}demo {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} -.464009{col 26}{space 2} .4723679{col 37}{space 1}   -0.98{col 46}{space 3}0.326{col 54}{space 4}-1.389833{col 67}{space 3} .4618151
{txt}{space 12} {c |}
{space 4}npt_rati {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.9812481{col 26}{space 2} .2401033{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-1.451842{col 67}{space 3}-.5106542
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-7.260881{col 26}{space 2} 2.372065{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-11.91004{col 67}{space 3}-2.611719
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Table 3: The effect of superpower leader visit on nuclear pursuit **
. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-464.60291}  
Iteration 2:{space 3}log pseudolikelihood = {res:-348.89402}  
Iteration 3:{space 3}log pseudolikelihood = {res:-313.04221}  
Iteration 4:{space 3}log pseudolikelihood = {res:-300.26306}  
Iteration 5:{space 3}log pseudolikelihood = {res: -290.8127}  
Iteration 6:{space 3}log pseudolikelihood = {res:-290.29279}  
Iteration 7:{space 3}log pseudolikelihood = {res: -290.2866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-290.28659}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,263}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:444.08}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-290.28659}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6507}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.360225{col 27}{space 2}  .510802{col 38}{space 1}   -2.66{col 47}{space 3}0.008{col 55}{space 4}-2.361379{col 68}{space 3}-.3590714
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3037873{col 27}{space 2} .5226966{col 38}{space 1}   -0.58{col 47}{space 3}0.561{col 55}{space 4}-1.328254{col 68}{space 3} .7206792
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2816264{col 27}{space 2} .3912123{col 38}{space 1}   -0.72{col 47}{space 3}0.472{col 55}{space 4}-1.048388{col 68}{space 3} .4851356
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .506426{col 27}{space 2} .2793416{col 38}{space 1}    1.81{col 47}{space 3}0.070{col 55}{space 4}-.0410733{col 68}{space 3} 1.053925
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .9812013{col 27}{space 2} .5965018{col 38}{space 1}    1.64{col 47}{space 3}0.100{col 55}{space 4}-.1879206{col 68}{space 3} 2.150323
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6044496{col 27}{space 2} .4818387{col 38}{space 1}   -1.25{col 47}{space 3}0.210{col 55}{space 4}-1.548836{col 68}{space 3} .3399369
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  3.51761{col 27}{space 2} .7207205{col 38}{space 1}    4.88{col 47}{space 3}0.000{col 55}{space 4} 2.105024{col 68}{space 3} 4.930197
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.622047{col 27}{space 2} .4092601{col 38}{space 1}    3.96{col 47}{space 3}0.000{col 55}{space 4} .8199116{col 68}{space 3} 2.424182
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7411293{col 27}{space 2} .4728836{col 38}{space 1}   -1.57{col 47}{space 3}0.117{col 55}{space 4}-1.667964{col 68}{space 3} .1857056
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0188972{col 27}{space 2} .0092816{col 38}{space 1}    2.04{col 47}{space 3}0.042{col 55}{space 4} .0007055{col 68}{space 3} .0370889
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7594513{col 27}{space 2} .3067181{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4}  .158295{col 68}{space 3} 1.360608
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5040623{col 27}{space 2} .6390487{col 38}{space 1}    0.79{col 47}{space 3}0.430{col 55}{space 4}-.7484501{col 68}{space 3} 1.756575
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.404515{col 27}{space 2}  .179953{col 38}{space 1}   -7.80{col 47}{space 3}0.000{col 55}{space 4}-1.757216{col 68}{space 3}-1.051814
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0751924{col 27}{space 2}  .011975{col 38}{space 1}    6.28{col 47}{space 3}0.000{col 55}{space 4} .0517218{col 68}{space 3}  .098663
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0011741{col 27}{space 2} .0002217{col 38}{space 1}   -5.30{col 47}{space 3}0.000{col 55}{space 4}-.0016087{col 68}{space 3}-.0007396
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  -3.6938{col 27}{space 2}  1.82936{col 38}{space 1}   -2.02{col 47}{space 3}0.043{col 55}{space 4} -7.27928{col 68}{space 3}-.1083198
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.conflict==1 & year<=1991, cluster(cowcc) //Model2 

{txt}note: {bf:L.conflict} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-409.26951}  
Iteration 1:{space 3}log pseudolikelihood = {res:-261.87636}  
Iteration 2:{space 3}log pseudolikelihood = {res:-184.07495}  
Iteration 3:{space 3}log pseudolikelihood = {res: -161.9705}  
Iteration 4:{space 3}log pseudolikelihood = {res:-160.53033}  
Iteration 5:{space 3}log pseudolikelihood = {res:-160.43618}  
Iteration 6:{space 3}log pseudolikelihood = {res:-160.43587}  
Iteration 7:{space 3}log pseudolikelihood = {res:-160.43587}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,278}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:638.03}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-160.43587}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6080}

{txt}{ralign 79:(Std. err. adjusted for {res:47} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.009233{col 27}{space 2} .3874122{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-1.768547{col 68}{space 3}-.2499195
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.329181{col 27}{space 2} .5503598{col 38}{space 1}    2.42{col 47}{space 3}0.016{col 55}{space 4} .2504957{col 68}{space 3} 2.407866
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1836401{col 27}{space 2} .5484548{col 38}{space 1}    0.33{col 47}{space 3}0.738{col 55}{space 4}-.8913115{col 68}{space 3} 1.258592
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0151248{col 27}{space 2} .3279016{col 38}{space 1}    0.05{col 47}{space 3}0.963{col 55}{space 4}-.6275506{col 68}{space 3} .6578002
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5394567{col 27}{space 2} .6984958{col 38}{space 1}    0.77{col 47}{space 3}0.440{col 55}{space 4}-.8295699{col 68}{space 3} 1.908483
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2754953{col 27}{space 2} .7038398{col 38}{space 1}   -0.39{col 47}{space 3}0.695{col 55}{space 4}-1.654996{col 68}{space 3} 1.104005
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.197272{col 27}{space 2} .8803734{col 38}{space 1}    3.63{col 47}{space 3}0.000{col 55}{space 4} 1.471772{col 68}{space 3} 4.922773
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.195241{col 27}{space 2} .7396415{col 38}{space 1}   -1.62{col 47}{space 3}0.106{col 55}{space 4}-2.644912{col 68}{space 3} .2544294
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0238571{col 27}{space 2} .0108146{col 38}{space 1}    2.21{col 47}{space 3}0.027{col 55}{space 4} .0026608{col 68}{space 3} .0450533
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4867088{col 27}{space 2} .4206817{col 38}{space 1}    1.16{col 47}{space 3}0.247{col 55}{space 4}-.3378122{col 68}{space 3}  1.31123
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7661577{col 27}{space 2}  .624403{col 38}{space 1}    1.23{col 47}{space 3}0.220{col 55}{space 4}-.4576497{col 68}{space 3} 1.989965
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.213613{col 27}{space 2} .2115549{col 38}{space 1}   -5.74{col 47}{space 3}0.000{col 55}{space 4}-1.628253{col 68}{space 3}-.7989728
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .065006{col 27}{space 2} .0147533{col 38}{space 1}    4.41{col 47}{space 3}0.000{col 55}{space 4} .0360899{col 68}{space 3}  .093922
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010284{col 27}{space 2} .0002759{col 38}{space 1}   -3.73{col 47}{space 3}0.000{col 55}{space 4}-.0015692{col 68}{space 3}-.0004875
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 1.275732{col 27}{space 2} 2.027785{col 38}{space 1}    0.63{col 47}{space 3}0.529{col 55}{space 4}-2.698653{col 68}{space 3} 5.250117
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 i.year if year<=1991, cluster(cowcc) //Model3

{txt}note: {bf:1991.year} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-468.22201}  
Iteration 2:{space 3}log pseudolikelihood = {res: -330.7496}  
Iteration 3:{space 3}log pseudolikelihood = {res:-279.87075}  
Iteration 4:{space 3}log pseudolikelihood = {res:-270.77109}  
Iteration 5:{space 3}log pseudolikelihood = {res:-269.17373}  
Iteration 6:{space 3}log pseudolikelihood = {res:-269.13712}  
Iteration 7:{space 3}log pseudolikelihood = {res:-269.13709}  
Iteration 8:{space 3}log pseudolikelihood = {res:-269.13709}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:4,263}
{txt}{col 56}{lalign 13:Wald chi2({res:54})}{col 69} = {res}{ralign 7:7623.25}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-269.13709}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.6761}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.182004{col 27}{space 2} .4543142{col 38}{space 1}   -2.60{col 47}{space 3}0.009{col 55}{space 4}-2.072443{col 68}{space 3}-.2915643
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.4749232{col 27}{space 2} .4035363{col 38}{space 1}   -1.18{col 47}{space 3}0.239{col 55}{space 4} -1.26584{col 68}{space 3} .3159934
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2576007{col 27}{space 2} .4783903{col 38}{space 1}   -0.54{col 47}{space 3}0.590{col 55}{space 4}-1.195228{col 68}{space 3} .6800271
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4275814{col 27}{space 2} .3061686{col 38}{space 1}    1.40{col 47}{space 3}0.163{col 55}{space 4} -.172498{col 68}{space 3} 1.027661
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .8675584{col 27}{space 2} .6748644{col 38}{space 1}    1.29{col 47}{space 3}0.199{col 55}{space 4}-.4551515{col 68}{space 3} 2.190268
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6937168{col 27}{space 2} .5218941{col 38}{space 1}   -1.33{col 47}{space 3}0.184{col 55}{space 4}-1.716611{col 68}{space 3} .3291769
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.795617{col 27}{space 2} 1.264159{col 38}{space 1}    3.00{col 47}{space 3}0.003{col 55}{space 4}  1.31791{col 68}{space 3} 6.273324
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.586891{col 27}{space 2}  .486236{col 38}{space 1}    3.26{col 47}{space 3}0.001{col 55}{space 4} .6338854{col 68}{space 3} 2.539896
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.872837{col 27}{space 2} .5252528{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4}-1.902313{col 68}{space 3} .1566395
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0079201{col 27}{space 2} .0221954{col 38}{space 1}    0.36{col 47}{space 3}0.721{col 55}{space 4}-.0355821{col 68}{space 3} .0514223
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.064241{col 27}{space 2} .3394888{col 38}{space 1}    3.13{col 47}{space 3}0.002{col 55}{space 4} .3988547{col 68}{space 3} 1.729626
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5978999{col 27}{space 2} .6497257{col 38}{space 1}    0.92{col 47}{space 3}0.357{col 55}{space 4}-.6755392{col 68}{space 3} 1.871339
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.574039{col 27}{space 2} .1982385{col 38}{space 1}   -7.94{col 47}{space 3}0.000{col 55}{space 4}-1.962579{col 68}{space 3}-1.185498
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0844705{col 27}{space 2} .0124639{col 38}{space 1}    6.78{col 47}{space 3}0.000{col 55}{space 4} .0600418{col 68}{space 3} .1088993
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0013112{col 27}{space 2} .0002106{col 38}{space 1}   -6.23{col 47}{space 3}0.000{col 55}{space 4} -.001724{col 68}{space 3}-.0008984
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1952  {c |}{col 15}{res}{space 2}-.1493766{col 27}{space 2} .4485946{col 38}{space 1}   -0.33{col 47}{space 3}0.739{col 55}{space 4}-1.028606{col 68}{space 3} .7298526
{txt}{space 8}1953  {c |}{col 15}{res}{space 2} 1.378471{col 27}{space 2} 1.296085{col 38}{space 1}    1.06{col 47}{space 3}0.288{col 55}{space 4} -1.16181{col 68}{space 3} 3.918752
{txt}{space 8}1954  {c |}{col 15}{res}{space 2}  2.68234{col 27}{space 2} 1.530989{col 38}{space 1}    1.75{col 47}{space 3}0.080{col 55}{space 4}-.3183439{col 68}{space 3} 5.683023
{txt}{space 8}1955  {c |}{col 15}{res}{space 2} 2.229497{col 27}{space 2} 1.706704{col 38}{space 1}    1.31{col 47}{space 3}0.191{col 55}{space 4}-1.115582{col 68}{space 3} 5.574576
{txt}{space 8}1956  {c |}{col 15}{res}{space 2}  1.15857{col 27}{space 2} 1.575461{col 38}{space 1}    0.74{col 47}{space 3}0.462{col 55}{space 4}-1.929277{col 68}{space 3} 4.246418
{txt}{space 8}1957  {c |}{col 15}{res}{space 2} .1678271{col 27}{space 2} 1.388676{col 38}{space 1}    0.12{col 47}{space 3}0.904{col 55}{space 4}-2.553927{col 68}{space 3} 2.889581
{txt}{space 8}1958  {c |}{col 15}{res}{space 2}  .935373{col 27}{space 2} 1.445194{col 38}{space 1}    0.65{col 47}{space 3}0.517{col 55}{space 4}-1.897155{col 68}{space 3} 3.767901
{txt}{space 8}1959  {c |}{col 15}{res}{space 2} 1.727283{col 27}{space 2} 1.381299{col 38}{space 1}    1.25{col 47}{space 3}0.211{col 55}{space 4}-.9800131{col 68}{space 3} 4.434579
{txt}{space 8}1960  {c |}{col 15}{res}{space 2} 2.073596{col 27}{space 2}  1.36682{col 38}{space 1}    1.52{col 47}{space 3}0.129{col 55}{space 4}-.6053221{col 68}{space 3} 4.752513
{txt}{space 8}1961  {c |}{col 15}{res}{space 2} .1585145{col 27}{space 2} 1.334453{col 38}{space 1}    0.12{col 47}{space 3}0.905{col 55}{space 4}-2.456965{col 68}{space 3} 2.773994
{txt}{space 8}1962  {c |}{col 15}{res}{space 2}  .675109{col 27}{space 2} 1.271116{col 38}{space 1}    0.53{col 47}{space 3}0.595{col 55}{space 4}-1.816232{col 68}{space 3}  3.16645
{txt}{space 8}1963  {c |}{col 15}{res}{space 2} .1251119{col 27}{space 2} 1.426356{col 38}{space 1}    0.09{col 47}{space 3}0.930{col 55}{space 4}-2.670495{col 68}{space 3} 2.920719
{txt}{space 8}1964  {c |}{col 15}{res}{space 2} .7757212{col 27}{space 2} 1.509972{col 38}{space 1}    0.51{col 47}{space 3}0.607{col 55}{space 4} -2.18377{col 68}{space 3} 3.735212
{txt}{space 8}1965  {c |}{col 15}{res}{space 2} .9903517{col 27}{space 2} 1.504221{col 38}{space 1}    0.66{col 47}{space 3}0.510{col 55}{space 4}-1.957868{col 68}{space 3} 3.938571
{txt}{space 8}1966  {c |}{col 15}{res}{space 2}-1.170837{col 27}{space 2} 1.408502{col 38}{space 1}   -0.83{col 47}{space 3}0.406{col 55}{space 4}-3.931449{col 68}{space 3} 1.589775
{txt}{space 8}1967  {c |}{col 15}{res}{space 2} .2813426{col 27}{space 2} 1.819037{col 38}{space 1}    0.15{col 47}{space 3}0.877{col 55}{space 4}-3.283905{col 68}{space 3}  3.84659
{txt}{space 8}1968  {c |}{col 15}{res}{space 2} 1.267779{col 27}{space 2} 1.834909{col 38}{space 1}    0.69{col 47}{space 3}0.490{col 55}{space 4}-2.328576{col 68}{space 3} 4.864134
{txt}{space 8}1969  {c |}{col 15}{res}{space 2} .6265286{col 27}{space 2} 1.412252{col 38}{space 1}    0.44{col 47}{space 3}0.657{col 55}{space 4}-2.141435{col 68}{space 3} 3.394492
{txt}{space 8}1970  {c |}{col 15}{res}{space 2} .9008565{col 27}{space 2} 2.290528{col 38}{space 1}    0.39{col 47}{space 3}0.694{col 55}{space 4}-3.588496{col 68}{space 3} 5.390209
{txt}{space 8}1971  {c |}{col 15}{res}{space 2} 2.175132{col 27}{space 2} 1.318956{col 38}{space 1}    1.65{col 47}{space 3}0.099{col 55}{space 4}-.4099754{col 68}{space 3} 4.760239
{txt}{space 8}1972  {c |}{col 15}{res}{space 2} 1.896139{col 27}{space 2} 1.131977{col 38}{space 1}    1.68{col 47}{space 3}0.094{col 55}{space 4} -.322494{col 68}{space 3} 4.114773
{txt}{space 8}1973  {c |}{col 15}{res}{space 2} 2.135109{col 27}{space 2} .9672257{col 38}{space 1}    2.21{col 47}{space 3}0.027{col 55}{space 4} .2393813{col 68}{space 3} 4.030836
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} 2.111553{col 27}{space 2} .8236393{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .4972499{col 68}{space 3} 3.725857
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} 1.577564{col 27}{space 2} .7163064{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .1736295{col 68}{space 3} 2.981499
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} .6282715{col 27}{space 2} .7165969{col 38}{space 1}    0.88{col 47}{space 3}0.381{col 55}{space 4}-.7762325{col 68}{space 3} 2.032776
{txt}{space 8}1977  {c |}{col 15}{res}{space 2}-.1335921{col 27}{space 2} .7138353{col 38}{space 1}   -0.19{col 47}{space 3}0.852{col 55}{space 4}-1.532684{col 68}{space 3} 1.265499
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 1.529868{col 27}{space 2} 1.125021{col 38}{space 1}    1.36{col 47}{space 3}0.174{col 55}{space 4}-.6751325{col 68}{space 3} 3.734869
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} 1.364048{col 27}{space 2} 1.236513{col 38}{space 1}    1.10{col 47}{space 3}0.270{col 55}{space 4}-1.059474{col 68}{space 3}  3.78757
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .8841001{col 27}{space 2} .9595751{col 38}{space 1}    0.92{col 47}{space 3}0.357{col 55}{space 4}-.9966325{col 68}{space 3} 2.764833
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} 1.720805{col 27}{space 2} 1.071189{col 38}{space 1}    1.61{col 47}{space 3}0.108{col 55}{space 4}-.3786861{col 68}{space 3} 3.820297
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} 2.885763{col 27}{space 2}  1.03304{col 38}{space 1}    2.79{col 47}{space 3}0.005{col 55}{space 4} .8610419{col 68}{space 3} 4.910484
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} 2.734746{col 27}{space 2}  .829067{col 38}{space 1}    3.30{col 47}{space 3}0.001{col 55}{space 4} 1.109805{col 68}{space 3} 4.359687
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} 2.720004{col 27}{space 2} .7883815{col 38}{space 1}    3.45{col 47}{space 3}0.001{col 55}{space 4} 1.174805{col 68}{space 3} 4.265203
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} 2.550926{col 27}{space 2} .7830666{col 38}{space 1}    3.26{col 47}{space 3}0.001{col 55}{space 4} 1.016143{col 68}{space 3} 4.085708
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} 2.292613{col 27}{space 2} .8149416{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4} .6953566{col 68}{space 3} 3.889869
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} 2.388301{col 27}{space 2} .8380149{col 38}{space 1}    2.85{col 47}{space 3}0.004{col 55}{space 4}  .745822{col 68}{space 3}  4.03078
{txt}{space 8}1988  {c |}{col 15}{res}{space 2}  1.73403{col 27}{space 2}  .990279{col 38}{space 1}    1.75{col 47}{space 3}0.080{col 55}{space 4}-.2068814{col 68}{space 3} 3.674941
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} 1.675874{col 27}{space 2} .9202422{col 38}{space 1}    1.82{col 47}{space 3}0.069{col 55}{space 4}-.1277679{col 68}{space 3} 3.479515
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} 1.307548{col 27}{space 2} .7067026{col 38}{space 1}    1.85{col 47}{space 3}0.064{col 55}{space 4}-.0775639{col 68}{space 3} 2.692659
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.581287{col 27}{space 2} 2.178179{col 38}{space 1}   -1.64{col 47}{space 3}0.100{col 55}{space 4}-7.850438{col 68}{space 3} .6878651
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 36 failures and 0 successes completely determined.{p_end}

{com}. relogit nukepursue_JG l_vis_us l_vis_rus l_nukeally l_gdpcap_ln l_industry l_demo l_majorpower l_conflict l_npt_rati l_npt_eff l_nca l_senstech l_JG1 l_JG2 l_JG3 if year<=1991, cluster(cowcc) //Model4
{txt}(4,230 missing values generated)


Corrected logit estimates                             Number of obs ={res}     4263

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}nukepursue~G{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}l_vis_us {c |}{col 14}{res}{space 2}-1.303491{col 26}{space 2} .5088856{col 37}{space 1}   -2.56{col 46}{space 3}0.010{col 54}{space 4}-2.300888{col 67}{space 3} -.306093
{txt}{space 3}l_vis_rus {c |}{col 14}{res}{space 2}-.2959449{col 26}{space 2} .5207397{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-1.316576{col 67}{space 3} .7246862
{txt}{space 2}l_nukeally {c |}{col 14}{res}{space 2}-.2818054{col 26}{space 2} .3897459{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-1.045693{col 67}{space 3} .4820825
{txt}{space 1}l_gdpcap_ln {c |}{col 14}{res}{space 2} .5067369{col 26}{space 2}  .278295{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0387113{col 67}{space 3} 1.052185
{txt}{space 2}l_industry {c |}{col 14}{res}{space 2} .9620137{col 26}{space 2} .5942665{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.2027272{col 67}{space 3} 2.126755
{txt}{space 6}l_demo {c |}{col 14}{res}{space 2}-.5959265{col 26}{space 2} .4800327{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4}-1.536773{col 67}{space 3} .3449204
{txt}l_majorpower {c |}{col 14}{res}{space 2} 3.388049{col 26}{space 2} .7180179{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4}  1.98076{col 67}{space 3} 4.795338
{txt}{space 2}l_conflict {c |}{col 14}{res}{space 2} 1.583273{col 26}{space 2} .4077258{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .7841455{col 67}{space 3} 2.382401
{txt}{space 2}l_npt_rati {c |}{col 14}{res}{space 2}-.7190878{col 26}{space 2} .4711098{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-1.642446{col 67}{space 3} .2042705
{txt}{space 3}l_npt_eff {c |}{col 14}{res}{space 2} .0182735{col 26}{space 2} .0092469{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0001499{col 67}{space 3} .0363971
{txt}{space 7}l_nca {c |}{col 14}{res}{space 2} .7388856{col 26}{space 2}  .305568{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .1399833{col 67}{space 3} 1.337788
{txt}{space 2}l_senstech {c |}{col 14}{res}{space 2} .4998895{col 26}{space 2} .6366531{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.7479277{col 67}{space 3} 1.747707
{txt}{space 7}l_JG1 {c |}{col 14}{res}{space 2} -1.35226{col 26}{space 2} .1792751{col 37}{space 1}   -7.54{col 46}{space 3}0.000{col 54}{space 4}-1.703632{col 67}{space 3}-1.000887
{txt}{space 7}l_JG2 {c |}{col 14}{res}{space 2}  .071971{col 26}{space 2} .0119296{col 37}{space 1}    6.03{col 46}{space 3}0.000{col 54}{space 4} .0485894{col 67}{space 3} .0953525
{txt}{space 7}l_JG3 {c |}{col 14}{res}{space 2}-.0011171{col 26}{space 2} .0002209{col 37}{space 1}   -5.06{col 46}{space 3}0.000{col 54}{space 4}  -.00155{col 67}{space 3}-.0006842
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.738025{col 26}{space 2} 1.822509{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-7.310076{col 67}{space 3}-.1659733
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Table 4: The effect of US leader visit on alliance status **
. logit nukepursue_JG l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==1 & year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-215.57299}  
Iteration 1:{space 3}log pseudolikelihood = {res:-145.79401}  
Iteration 2:{space 3}log pseudolikelihood = {res: -141.5001}  
Iteration 3:{space 3}log pseudolikelihood = {res:-115.05315}  
Iteration 4:{space 3}log pseudolikelihood = {res:-106.69832}  
Iteration 5:{space 3}log pseudolikelihood = {res:-92.577875}  
Iteration 6:{space 3}log pseudolikelihood = {res:-65.177209}  
Iteration 7:{space 3}log pseudolikelihood = {res:-56.664455}  
Iteration 8:{space 3}log pseudolikelihood = {res:-54.468855}  
Iteration 9:{space 3}log pseudolikelihood = {res:-54.316124}  
Iteration 10:{space 2}log pseudolikelihood = {res: -54.31544}  
Iteration 11:{space 2}log pseudolikelihood = {res: -54.31544}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:1,492}
{txt}{col 56}{lalign 13:Wald chi2({res:13})}{col 69} = {res}{ralign 7:3083.73}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-54.31544}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.7480}

{txt}{ralign 79:(Std. err. adjusted for {res:42} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.644399{col 27}{space 2} 1.369685{col 38}{space 1}   -1.20{col 47}{space 3}0.230{col 55}{space 4}-4.328933{col 68}{space 3} 1.040135
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.082838{col 27}{space 2} .8516643{col 38}{space 1}   -1.27{col 47}{space 3}0.204{col 55}{space 4} -2.75207{col 68}{space 3} .5863932
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .833017{col 27}{space 2} 1.635312{col 38}{space 1}    0.51{col 47}{space 3}0.610{col 55}{space 4}-2.372137{col 68}{space 3} 4.038171
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-2.743485{col 27}{space 2} .7395619{col 38}{space 1}   -3.71{col 47}{space 3}0.000{col 55}{space 4}   -4.193{col 68}{space 3}-1.293971
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 6.310639{col 27}{space 2} 1.330298{col 38}{space 1}    4.74{col 47}{space 3}0.000{col 55}{space 4} 3.703302{col 68}{space 3} 8.917976
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.100392{col 27}{space 2} .7242725{col 38}{space 1}    2.90{col 47}{space 3}0.004{col 55}{space 4} .6808443{col 68}{space 3}  3.51994
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-5.511979{col 27}{space 2} 1.626439{col 38}{space 1}   -3.39{col 47}{space 3}0.001{col 55}{space 4}-8.699741{col 68}{space 3}-2.324217
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0568857{col 27}{space 2} .0238642{col 38}{space 1}    2.38{col 47}{space 3}0.017{col 55}{space 4} .0101127{col 68}{space 3} .1036586
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3008511{col 27}{space 2}  .258262{col 38}{space 1}   -1.16{col 47}{space 3}0.244{col 55}{space 4}-.8070353{col 68}{space 3}  .205333
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.5015427{col 27}{space 2} .8233482{col 38}{space 1}   -0.61{col 47}{space 3}0.542{col 55}{space 4}-2.115276{col 68}{space 3}  1.11219
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.793438{col 27}{space 2} .3161641{col 38}{space 1}   -5.67{col 47}{space 3}0.000{col 55}{space 4}-2.413108{col 68}{space 3}-1.173767
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0968767{col 27}{space 2} .0199202{col 38}{space 1}    4.86{col 47}{space 3}0.000{col 55}{space 4} .0578339{col 68}{space 3} .1359196
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0015385{col 27}{space 2} .0003871{col 38}{space 1}   -3.97{col 47}{space 3}0.000{col 55}{space 4}-.0022972{col 68}{space 3}-.0007799
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 10.86264{col 27}{space 2}   7.4181{col 38}{space 1}    1.46{col 47}{space 3}0.143{col 55}{space 4}-3.676566{col 68}{space 3} 25.40185
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 126 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==0 & year<=1991, cluster(cowcc) //Model2

{txt}note: {bf:L.majorpower} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-608.77988}  
Iteration 1:{space 3}log pseudolikelihood = {res:-319.94948}  
Iteration 2:{space 3}log pseudolikelihood = {res:-224.09078}  
Iteration 3:{space 3}log pseudolikelihood = {res:-210.89631}  
Iteration 4:{space 3}log pseudolikelihood = {res:-210.27168}  
Iteration 5:{space 3}log pseudolikelihood = {res:-210.26579}  
Iteration 6:{space 3}log pseudolikelihood = {res:-210.26579}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,771}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:242.66}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-210.26579}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6546}

{txt}{ralign 79:(Std. err. adjusted for {res:102} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.669148{col 27}{space 2} .4387613{col 38}{space 1}   -3.80{col 47}{space 3}0.000{col 55}{space 4}-2.529104{col 68}{space 3}-.8091914
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .6008076{col 27}{space 2} .2798019{col 38}{space 1}    2.15{col 47}{space 3}0.032{col 55}{space 4} .0524059{col 68}{space 3} 1.149209
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .8695552{col 27}{space 2} .6509738{col 38}{space 1}    1.34{col 47}{space 3}0.182{col 55}{space 4}-.4063301{col 68}{space 3} 2.145441
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2715968{col 27}{space 2} .5126132{col 38}{space 1}   -0.53{col 47}{space 3}0.596{col 55}{space 4}  -1.2763{col 68}{space 3} .7331067
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.869648{col 27}{space 2} .4986758{col 38}{space 1}    3.75{col 47}{space 3}0.000{col 55}{space 4} .8922616{col 68}{space 3} 2.847035
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0393336{col 27}{space 2} .5519717{col 38}{space 1}   -0.07{col 47}{space 3}0.943{col 55}{space 4}-1.121178{col 68}{space 3} 1.042511
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .015968{col 27}{space 2} .0115342{col 38}{space 1}    1.38{col 47}{space 3}0.166{col 55}{space 4}-.0066386{col 68}{space 3} .0385747
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}   1.0682{col 27}{space 2} .3861417{col 38}{space 1}    2.77{col 47}{space 3}0.006{col 55}{space 4}  .311376{col 68}{space 3} 1.825024
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3766977{col 27}{space 2} .5727187{col 38}{space 1}    0.66{col 47}{space 3}0.511{col 55}{space 4}-.7458104{col 68}{space 3} 1.499206
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.348708{col 27}{space 2} .2208855{col 38}{space 1}   -6.11{col 47}{space 3}0.000{col 55}{space 4}-1.781635{col 68}{space 3}-.9157799
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0694264{col 27}{space 2}  .014326{col 38}{space 1}    4.85{col 47}{space 3}0.000{col 55}{space 4}  .041348{col 68}{space 3} .0975049
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010613{col 27}{space 2} .0002603{col 38}{space 1}   -4.08{col 47}{space 3}0.000{col 55}{space 4}-.0015715{col 68}{space 3}-.0005512
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.791019{col 27}{space 2}  1.78727{col 38}{space 1}   -2.68{col 47}{space 3}0.007{col 55}{space 4}-8.294003{col 68}{space 3}-1.288034
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit nukepursue_JG l.vis_rus l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.soviet_ally==1 & year<=1991, cluster(cowcc) //Model3

{txt}note: {bf:L.industry} != 1 predicts failure perfectly;
      {bf:L.industry} omitted and 182 obs not used.

note: {bf:L.senstech} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-69.853719}  
Iteration 1:{space 3}log pseudolikelihood = {res:-30.964095}  
Iteration 2:{space 3}log pseudolikelihood = {res:-23.282589}  
Iteration 3:{space 3}log pseudolikelihood = {res:-17.878512}  
Iteration 4:{space 3}log pseudolikelihood = {res:-16.273125}  
Iteration 5:{space 3}log pseudolikelihood = {res:-15.987975}  
Iteration 6:{space 3}log pseudolikelihood = {res:-15.956697}  
Iteration 7:{space 3}log pseudolikelihood = {res:-15.950498}  
Iteration 8:{space 3}log pseudolikelihood = {res:-15.949183}  
Iteration 9:{space 3}log pseudolikelihood = {res:-15.948876}  
Iteration 10:{space 2}log pseudolikelihood = {res:-15.948805}  
Iteration 11:{space 2}log pseudolikelihood = {res: -15.94879}  
Iteration 12:{space 2}log pseudolikelihood = {res:-15.948787}  
Iteration 13:{space 2}log pseudolikelihood = {res:-15.948787}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:188}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(5)}}{col 70} = {res}{ralign 6:.}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-15.948787}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.7717}

{txt}{ralign 79:(Std. err. adjusted for {res:10} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .2192981{col 27}{space 2} .5976284{col 38}{space 1}    0.37{col 47}{space 3}0.714{col 55}{space 4} -.952032{col 68}{space 3} 1.390628
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-9.630618{col 27}{space 2} 4.227754{col 38}{space 1}   -2.28{col 47}{space 3}0.023{col 55}{space 4}-17.91686{col 68}{space 3}-1.344373
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-12.23357{col 27}{space 2} 1.962548{col 38}{space 1}   -6.23{col 47}{space 3}0.000{col 55}{space 4} -16.0801{col 68}{space 3}-8.387048
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 36.20808{col 27}{space 2} 1.798363{col 38}{space 1}   20.13{col 47}{space 3}0.000{col 55}{space 4} 32.68335{col 68}{space 3} 39.73281
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.454519{col 27}{space 2} .7141161{col 38}{space 1}    2.04{col 47}{space 3}0.042{col 55}{space 4} .0548772{col 68}{space 3} 2.854161
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 18.33535{col 27}{space 2} 8.568291{col 38}{space 1}    2.14{col 47}{space 3}0.032{col 55}{space 4} 1.541812{col 68}{space 3} 35.12889
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0196566{col 27}{space 2} .1562923{col 38}{space 1}    0.13{col 47}{space 3}0.900{col 55}{space 4}-.2866706{col 68}{space 3} .3259838
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-2.125326{col 27}{space 2}  1.03155{col 38}{space 1}   -2.06{col 47}{space 3}0.039{col 55}{space 4}-4.147127{col 68}{space 3}-.1035246
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.322292{col 27}{space 2} 1.437158{col 38}{space 1}   -0.92{col 47}{space 3}0.358{col 55}{space 4} -4.13907{col 68}{space 3} 1.494485
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0444324{col 27}{space 2} .0552704{col 38}{space 1}    0.80{col 47}{space 3}0.421{col 55}{space 4}-.0638957{col 68}{space 3} .1527604
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0003797{col 27}{space 2} .0005193{col 38}{space 1}   -0.73{col 47}{space 3}0.465{col 55}{space 4}-.0013974{col 68}{space 3}  .000638
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 65.53146{col 27}{space 2} 41.38415{col 38}{space 1}    1.58{col 47}{space 3}0.113{col 55}{space 4}-15.57999{col 68}{space 3} 146.6429
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 57 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_rus l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.soviet_ally==0 & year<=1991, cluster(cowcc) //Model4

{txt}note: {bf:L.majorpower} != 0 predicts success perfectly;
      {bf:L.majorpower} omitted and 3 obs not used.

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-734.98713}  
Iteration 1:{space 3}log pseudolikelihood = {res:-421.46077}  
Iteration 2:{space 3}log pseudolikelihood = {res:-295.93373}  
Iteration 3:{space 3}log pseudolikelihood = {res:-262.37067}  
Iteration 4:{space 3}log pseudolikelihood = {res:-257.18544}  
Iteration 5:{space 3}log pseudolikelihood = {res:-256.23002}  
Iteration 6:{space 3}log pseudolikelihood = {res:-256.21477}  
Iteration 7:{space 3}log pseudolikelihood = {res:-256.21477}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:3,890}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:298.06}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-256.21477}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6514}

{txt}{ralign 79:(Std. err. adjusted for {res:122} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0047443{col 27}{space 2} .6996552{col 38}{space 1}   -0.01{col 47}{space 3}0.995{col 55}{space 4}-1.376043{col 68}{space 3} 1.366555
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .6575602{col 27}{space 2} .3003696{col 38}{space 1}    2.19{col 47}{space 3}0.029{col 55}{space 4} .0688466{col 68}{space 3} 1.246274
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5467166{col 27}{space 2} .5998974{col 38}{space 1}    0.91{col 47}{space 3}0.362{col 55}{space 4}-.6290608{col 68}{space 3} 1.722494
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.5224878{col 27}{space 2} .5133723{col 38}{space 1}   -1.02{col 47}{space 3}0.309{col 55}{space 4}-1.528679{col 68}{space 3} .4837034
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.626973{col 27}{space 2} .4297901{col 38}{space 1}    3.79{col 47}{space 3}0.000{col 55}{space 4} .7845996{col 68}{space 3} 2.469346
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.8940667{col 27}{space 2}  .519595{col 38}{space 1}   -1.72{col 47}{space 3}0.085{col 55}{space 4}-1.912454{col 68}{space 3} .1243208
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0191323{col 27}{space 2} .0091194{col 38}{space 1}    2.10{col 47}{space 3}0.036{col 55}{space 4} .0012587{col 68}{space 3} .0370059
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7910973{col 27}{space 2} .3247934{col 38}{space 1}    2.44{col 47}{space 3}0.015{col 55}{space 4} .1545139{col 68}{space 3} 1.427681
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3926267{col 27}{space 2}  .653432{col 38}{space 1}    0.60{col 47}{space 3}0.548{col 55}{space 4}-.8880764{col 68}{space 3}  1.67333
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.530553{col 27}{space 2} .2284353{col 38}{space 1}   -6.70{col 47}{space 3}0.000{col 55}{space 4}-1.978277{col 68}{space 3}-1.082828
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0885195{col 27}{space 2} .0175925{col 38}{space 1}    5.03{col 47}{space 3}0.000{col 55}{space 4} .0540388{col 68}{space 3} .1230002
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0015067{col 27}{space 2} .0003711{col 38}{space 1}   -4.06{col 47}{space 3}0.000{col 55}{space 4}-.0022342{col 68}{space 3}-.0007793
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.745225{col 27}{space 2} 1.984226{col 38}{space 1}   -2.39{col 47}{space 3}0.017{col 55}{space 4}-8.634236{col 68}{space 3}-.8562135
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 146 failures and 0 successes completely determined.{p_end}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. *** Appendices *** 
. 
. ** Appendix 1: Descriptive statistics **
. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-464.60291}  
Iteration 2:{space 3}log pseudolikelihood = {res:-348.89402}  
Iteration 3:{space 3}log pseudolikelihood = {res:-313.04221}  
Iteration 4:{space 3}log pseudolikelihood = {res:-300.26306}  
Iteration 5:{space 3}log pseudolikelihood = {res: -290.8127}  
Iteration 6:{space 3}log pseudolikelihood = {res:-290.29279}  
Iteration 7:{space 3}log pseudolikelihood = {res: -290.2866}  
Iteration 8:{space 3}log pseudolikelihood = {res:-290.28659}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,263}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:444.08}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-290.28659}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6507}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.360225{col 27}{space 2}  .510802{col 38}{space 1}   -2.66{col 47}{space 3}0.008{col 55}{space 4}-2.361379{col 68}{space 3}-.3590714
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3037873{col 27}{space 2} .5226966{col 38}{space 1}   -0.58{col 47}{space 3}0.561{col 55}{space 4}-1.328254{col 68}{space 3} .7206792
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2816264{col 27}{space 2} .3912123{col 38}{space 1}   -0.72{col 47}{space 3}0.472{col 55}{space 4}-1.048388{col 68}{space 3} .4851356
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .506426{col 27}{space 2} .2793416{col 38}{space 1}    1.81{col 47}{space 3}0.070{col 55}{space 4}-.0410733{col 68}{space 3} 1.053925
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .9812013{col 27}{space 2} .5965018{col 38}{space 1}    1.64{col 47}{space 3}0.100{col 55}{space 4}-.1879206{col 68}{space 3} 2.150323
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6044496{col 27}{space 2} .4818387{col 38}{space 1}   -1.25{col 47}{space 3}0.210{col 55}{space 4}-1.548836{col 68}{space 3} .3399369
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  3.51761{col 27}{space 2} .7207205{col 38}{space 1}    4.88{col 47}{space 3}0.000{col 55}{space 4} 2.105024{col 68}{space 3} 4.930197
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.622047{col 27}{space 2} .4092601{col 38}{space 1}    3.96{col 47}{space 3}0.000{col 55}{space 4} .8199116{col 68}{space 3} 2.424182
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7411293{col 27}{space 2} .4728836{col 38}{space 1}   -1.57{col 47}{space 3}0.117{col 55}{space 4}-1.667964{col 68}{space 3} .1857056
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0188972{col 27}{space 2} .0092816{col 38}{space 1}    2.04{col 47}{space 3}0.042{col 55}{space 4} .0007055{col 68}{space 3} .0370889
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7594513{col 27}{space 2} .3067181{col 38}{space 1}    2.48{col 47}{space 3}0.013{col 55}{space 4}  .158295{col 68}{space 3} 1.360608
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5040623{col 27}{space 2} .6390487{col 38}{space 1}    0.79{col 47}{space 3}0.430{col 55}{space 4}-.7484501{col 68}{space 3} 1.756575
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.404515{col 27}{space 2}  .179953{col 38}{space 1}   -7.80{col 47}{space 3}0.000{col 55}{space 4}-1.757216{col 68}{space 3}-1.051814
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0751924{col 27}{space 2}  .011975{col 38}{space 1}    6.28{col 47}{space 3}0.000{col 55}{space 4} .0517218{col 68}{space 3}  .098663
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0011741{col 27}{space 2} .0002217{col 38}{space 1}   -5.30{col 47}{space 3}0.000{col 55}{space 4}-.0016087{col 68}{space 3}-.0007396
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  -3.6938{col 27}{space 2}  1.82936{col 38}{space 1}   -2.02{col 47}{space 3}0.043{col 55}{space 4} -7.27928{col 68}{space 3}-.1083198
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. 
. sum if e(sample)==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}country {c |}{res}          0
{txt}{space 7}cowcc {c |}{res}      4,263    439.3197    248.5725         20        950
{txt}{space 8}year {c |}{res}      4,263    1973.107    11.20516       1951       1991
{txt}nukepursue~G {c |}{res}      4,263    .0487919     .215458          0          1
{txt}{space 6}vis_us {c |}{res}      4,262    .0424683    .2016787          0          1
{txt}{hline 13}{c +}{hline 57}
{space 5}vis_rus {c |}{res}      4,262    .0283904     .166105          0          1
{txt}{space 4}nukeally {c |}{res}      4,263    .5003519    .5000585          0          1
{txt}{space 3}gdpcap_ln {c |}{res}      4,263    8.053526    .9665266   5.937536   10.38983
{txt}{space 4}industry {c |}{res}      4,263     .228243    .4197493          0          1
{txt}{space 8}demo {c |}{res}      4,255    .2834313    .4507169          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}majorpower {c |}{res}      4,263    .0025803    .0507374          0          1
{txt}{space 4}conflict {c |}{res}      4,263    .3028384    .4595398          0          1
{txt}{space 4}npt_rati {c |}{res}      4,263    .4567206    .4981818          0          1
{txt}{space 5}npt_eff {c |}{res}      4,263    42.60563     33.7815          0   83.83234
{txt}{space 9}nca {c |}{res}      4,263    .1857847    .3889784          0          1
{txt}{hline 13}{c +}{hline 57}
{space 4}senstech {c |}{res}      4,263    .0265072    .1606567          0          1
{txt}{space 5}us_ally {c |}{res}      4,263    .3518649    .4776081          0          1
{txt}{space 1}soviet_ally {c |}{res}      4,263    .0870279     .281909          0          1
{txt}nuke_latency {c |}{res}      4,263    .0445696     .206381          0          1
{txt}nukepursue~W {c |}{res}      4,263    .0417546    .2000514          0          1
{txt}{hline 13}{c +}{hline 57}
vis_us_smith {c |}{res}      4,263    .0401126    .1962463          0          1
{txt}nukepursue~g {c |}{res}      4,263    .0448041    .2068979          0          1
{txt}nukepursue~t {c |}{res}      4,263    .0039878    .0630304          0          1
{txt}{space 7}usnuc {c |}{res}      4,230    .0690307    .2535364          0          1
{txt}{space 5}rivalry {c |}{res}      4,263    .3220737    .4673258          0          1
{txt}{hline 13}{c +}{hline 57}
npt_rati_e~d {c |}{res}      4,263    .4567206    .4981818          0          1
{txt}npt_eff_ex~d {c |}{res}      4,263    42.60563     33.7815          0   83.83234
{txt}{space 9}JG1 {c |}{res}      4,263    20.47244    12.05831          1         46
{txt}{space 9}JG2 {c |}{res}      4,263    564.4893    555.1533          1       2116
{txt}{space 9}JG3 {c |}{res}      4,263    17997.72    23797.25          1      97336
{txt}{hline 13}{c +}{hline 57}
{space 9}SW1 {c |}{res}      4,263    20.74126     11.9979          1         46
{txt}{space 9}SW2 {c |}{res}      4,263    574.1159    557.4161          1       2116
{txt}{space 9}SW3 {c |}{res}      4,263    18352.15    23959.67          1      97336
{txt}{space 9}OS1 {c |}{res}      4,263    20.98663    11.65212          1         46
{txt}{space 9}OS2 {c |}{res}      4,263    576.1787    552.8048          1       2116
{txt}{hline 13}{c +}{hline 57}
{space 9}OS3 {c |}{res}      4,263    18326.32     23848.1          1      97336
{txt}{space 4}l_vis_us {c |}{res}      4,263    .0405817    .1973424          0          1
{txt}{space 3}l_vis_rus {c |}{res}      4,263      .02768    .1640737          0          1
{txt}{space 2}l_nukeally {c |}{res}      4,263     .499179     .500058          0          1
{txt}{space 1}l_gdpcap_ln {c |}{res}      4,263    8.035822    .9606724   5.899898   10.35977
{txt}{hline 13}{c +}{hline 57}
{space 2}l_industry {c |}{res}      4,263    .2183908    .4132025          0          1
{txt}{space 6}l_demo {c |}{res}      4,263    .2793807    .4487476          0          1
{txt}l_majorpower {c |}{res}      4,263    .0023458    .0483819          0          1
{txt}{space 2}l_conflict {c |}{res}      4,263    .2997889    .4582191          0          1
{txt}{space 2}l_npt_rati {c |}{res}      4,263    .4313863    .4953279          0          1
{txt}{hline 13}{c +}{hline 57}
{space 3}l_npt_eff {c |}{res}      4,263    40.48171    33.84866          0   83.83234
{txt}{space 7}l_nca {c |}{res}      4,263    .1825006    .3863019          0          1
{txt}{space 2}l_senstech {c |}{res}      4,263     .024396    .1542932          0          1
{txt}{space 3}l_us_ally {c |}{res}      4,263    .3499883    .4770219          0          1
{txt}l_soviet_a~y {c |}{res}      4,263    .0867933     .281565          0          1
{txt}{hline 13}{c +}{hline 57}
l_nuke_lat~y {c |}{res}      4,263    .0419892     .200588          0          1
{txt}l_vis_us_s~h {c |}{res}      4,263     .038236     .191788          0          1
{txt}{space 5}l_usnuc {c |}{res}      4,206    .0682359    .2521802          0          1
{txt}{space 3}l_rivalry {c |}{res}      4,263    .3232465    .4677708          0          1
{txt}l_npt_rati~d {c |}{res}      4,263    .4313863    .4953279          0          1
{txt}{hline 13}{c +}{hline 57}
l_npt_eff_~d {c |}{res}      4,263    40.48171    33.84866          0   83.83234
{txt}{space 7}l_JG1 {c |}{res}      4,263    19.60521    11.94109          1         45
{txt}{space 7}l_JG2 {c |}{res}      4,263    526.9202    531.5334          1       2025
{txt}{space 7}l_JG3 {c |}{res}      4,263    16431.54    22190.97          1      91125
{txt}{space 7}l_SW1 {c |}{res}      4,263    19.86348    11.89677          1         45
{txt}{hline 13}{c +}{hline 57}
{space 7}l_SW2 {c |}{res}      4,263    536.0577    534.1025          1       2025
{txt}{space 7}l_SW3 {c |}{res}      4,263    16763.76    22357.23          1      91125
{txt}{space 7}l_OS1 {c |}{res}      4,263    20.07999     11.5972          1         45
{txt}{space 7}l_OS2 {c |}{res}      4,263    537.6695    529.8185          1       2025
{txt}{space 7}l_OS3 {c |}{res}      4,263    16730.92    22245.46          1      91125
{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Appendix 2: The effect of superpower leader visit on nuclear pursuit (Country fixed effect) **
. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 i.cowcc if year<=1991, cluster(cowcc) 

{txt}note: {bf:20.cowcc} != 0 predicts failure perfectly;
      {bf:20.cowcc} omitted and 41 obs not used.

note: {bf:40.cowcc} != 0 predicts failure perfectly;
      {bf:40.cowcc} omitted and 41 obs not used.

note: {bf:41.cowcc} != 0 predicts failure perfectly;
      {bf:41.cowcc} omitted and 41 obs not used.

note: {bf:42.cowcc} != 0 predicts failure perfectly;
      {bf:42.cowcc} omitted and 41 obs not used.

note: {bf:51.cowcc} != 0 predicts failure perfectly;
      {bf:51.cowcc} omitted and 29 obs not used.

note: {bf:52.cowcc} != 0 predicts failure perfectly;
      {bf:52.cowcc} omitted and 29 obs not used.

note: {bf:70.cowcc} != 0 predicts failure perfectly;
      {bf:70.cowcc} omitted and 41 obs not used.

note: {bf:90.cowcc} != 0 predicts failure perfectly;
      {bf:90.cowcc} omitted and 41 obs not used.

note: {bf:91.cowcc} != 0 predicts failure perfectly;
      {bf:91.cowcc} omitted and 41 obs not used.

note: {bf:92.cowcc} != 0 predicts failure perfectly;
      {bf:92.cowcc} omitted and 41 obs not used.

note: {bf:93.cowcc} != 0 predicts failure perfectly;
      {bf:93.cowcc} omitted and 41 obs not used.

note: {bf:94.cowcc} != 0 predicts failure perfectly;
      {bf:94.cowcc} omitted and 41 obs not used.

note: {bf:95.cowcc} != 0 predicts failure perfectly;
      {bf:95.cowcc} omitted and 41 obs not used.

note: {bf:100.cowcc} != 0 predicts failure perfectly;
      {bf:100.cowcc} omitted and 41 obs not used.

note: {bf:101.cowcc} != 0 predicts failure perfectly;
      {bf:101.cowcc} omitted and 41 obs not used.

note: {bf:110.cowcc} != 0 predicts failure perfectly;
      {bf:110.cowcc} omitted and 25 obs not used.

note: {bf:130.cowcc} != 0 predicts failure perfectly;
      {bf:130.cowcc} omitted and 41 obs not used.

note: {bf:135.cowcc} != 0 predicts failure perfectly;
      {bf:135.cowcc} omitted and 41 obs not used.

note: {bf:145.cowcc} != 0 predicts failure perfectly;
      {bf:145.cowcc} omitted and 41 obs not used.

note: {bf:150.cowcc} != 0 predicts failure perfectly;
      {bf:150.cowcc} omitted and 41 obs not used.

note: {bf:155.cowcc} != 0 predicts failure perfectly;
      {bf:155.cowcc} omitted and 41 obs not used.

note: {bf:165.cowcc} != 0 predicts failure perfectly;
      {bf:165.cowcc} omitted and 41 obs not used.

note: {bf:200.cowcc} != 0 predicts success perfectly;
      {bf:200.cowcc} omitted and 1 obs not used.

note: {bf:205.cowcc} != 0 predicts failure perfectly;
      {bf:205.cowcc} omitted and 41 obs not used.

note: {bf:210.cowcc} != 0 predicts failure perfectly;
      {bf:210.cowcc} omitted and 41 obs not used.

note: {bf:211.cowcc} != 0 predicts failure perfectly;
      {bf:211.cowcc} omitted and 41 obs not used.

note: {bf:225.cowcc} != 0 predicts failure perfectly;
      {bf:225.cowcc} omitted and 41 obs not used.

note: {bf:230.cowcc} != 0 predicts failure perfectly;
      {bf:230.cowcc} omitted and 41 obs not used.

note: {bf:235.cowcc} != 0 predicts failure perfectly;
      {bf:235.cowcc} omitted and 41 obs not used.

note: {bf:260.cowcc} != 0 predicts failure perfectly;
      {bf:260.cowcc} omitted and 35 obs not used.

note: {bf:265.cowcc} != 0 predicts failure perfectly;
      {bf:265.cowcc} omitted and 35 obs not used.

note: {bf:290.cowcc} != 0 predicts failure perfectly;
      {bf:290.cowcc} omitted and 41 obs not used.

note: {bf:305.cowcc} != 0 predicts failure perfectly;
      {bf:305.cowcc} omitted and 36 obs not used.

note: {bf:310.cowcc} != 0 predicts failure perfectly;
      {bf:310.cowcc} omitted and 40 obs not used.

note: {bf:315.cowcc} != 0 predicts failure perfectly;
      {bf:315.cowcc} omitted and 40 obs not used.

note: {bf:325.cowcc} != 0 predicts failure perfectly;
      {bf:325.cowcc} omitted and 41 obs not used.

note: {bf:339.cowcc} != 0 predicts failure perfectly;
      {bf:339.cowcc} omitted and 41 obs not used.

note: {bf:350.cowcc} != 0 predicts failure perfectly;
      {bf:350.cowcc} omitted and 41 obs not used.

note: {bf:352.cowcc} != 0 predicts failure perfectly;
      {bf:352.cowcc} omitted and 31 obs not used.

note: {bf:355.cowcc} != 0 predicts failure perfectly;
      {bf:355.cowcc} omitted and 41 obs not used.

note: {bf:375.cowcc} != 0 predicts failure perfectly;
      {bf:375.cowcc} omitted and 41 obs not used.

note: {bf:385.cowcc} != 0 predicts failure perfectly;
      {bf:385.cowcc} omitted and 41 obs not used.

note: {bf:390.cowcc} != 0 predicts failure perfectly;
      {bf:390.cowcc} omitted and 41 obs not used.

note: {bf:404.cowcc} != 0 predicts failure perfectly;
      {bf:404.cowcc} omitted and 17 obs not used.

note: {bf:420.cowcc} != 0 predicts failure perfectly;
      {bf:420.cowcc} omitted and 17 obs not used.

note: {bf:432.cowcc} != 0 predicts failure perfectly;
      {bf:432.cowcc} omitted and 31 obs not used.

note: {bf:433.cowcc} != 0 predicts failure perfectly;
      {bf:433.cowcc} omitted and 31 obs not used.

note: {bf:434.cowcc} != 0 predicts failure perfectly;
      {bf:434.cowcc} omitted and 31 obs not used.

note: {bf:435.cowcc} != 0 predicts failure perfectly;
      {bf:435.cowcc} omitted and 31 obs not used.

note: {bf:436.cowcc} != 0 predicts failure perfectly;
      {bf:436.cowcc} omitted and 31 obs not used.

note: {bf:437.cowcc} != 0 predicts failure perfectly;
      {bf:437.cowcc} omitted and 31 obs not used.

note: {bf:438.cowcc} != 0 predicts failure perfectly;
      {bf:438.cowcc} omitted and 32 obs not used.

note: {bf:439.cowcc} != 0 predicts failure perfectly;
      {bf:439.cowcc} omitted and 31 obs not used.

note: {bf:450.cowcc} != 0 predicts failure perfectly;
      {bf:450.cowcc} omitted and 41 obs not used.

note: {bf:451.cowcc} != 0 predicts failure perfectly;
      {bf:451.cowcc} omitted and 30 obs not used.

note: {bf:452.cowcc} != 0 predicts failure perfectly;
      {bf:452.cowcc} omitted and 31 obs not used.

note: {bf:461.cowcc} != 0 predicts failure perfectly;
      {bf:461.cowcc} omitted and 31 obs not used.

note: {bf:471.cowcc} != 0 predicts failure perfectly;
      {bf:471.cowcc} omitted and 31 obs not used.

note: {bf:475.cowcc} != 0 predicts failure perfectly;
      {bf:475.cowcc} omitted and 31 obs not used.

note: {bf:481.cowcc} != 0 predicts failure perfectly;
      {bf:481.cowcc} omitted and 21 obs not used.

note: {bf:482.cowcc} != 0 predicts failure perfectly;
      {bf:482.cowcc} omitted and 31 obs not used.

note: {bf:483.cowcc} != 0 predicts failure perfectly;
      {bf:483.cowcc} omitted and 31 obs not used.

note: {bf:484.cowcc} != 0 predicts failure perfectly;
      {bf:484.cowcc} omitted and 31 obs not used.

note: {bf:490.cowcc} != 0 predicts failure perfectly;
      {bf:490.cowcc} omitted and 31 obs not used.

note: {bf:500.cowcc} != 0 predicts failure perfectly;
      {bf:500.cowcc} omitted and 28 obs not used.

note: {bf:501.cowcc} != 0 predicts failure perfectly;
      {bf:501.cowcc} omitted and 28 obs not used.

note: {bf:510.cowcc} != 0 predicts failure perfectly;
      {bf:510.cowcc} omitted and 30 obs not used.

note: {bf:516.cowcc} != 0 predicts failure perfectly;
      {bf:516.cowcc} omitted and 28 obs not used.

note: {bf:517.cowcc} != 0 predicts failure perfectly;
      {bf:517.cowcc} omitted and 29 obs not used.

note: {bf:520.cowcc} != 0 predicts failure perfectly;
      {bf:520.cowcc} omitted and 31 obs not used.

note: {bf:522.cowcc} != 0 predicts failure perfectly;
      {bf:522.cowcc} omitted and 1 obs not used.

note: {bf:530.cowcc} != 0 predicts failure perfectly;
      {bf:530.cowcc} omitted and 41 obs not used.

note: {bf:540.cowcc} != 0 predicts failure perfectly;
      {bf:540.cowcc} omitted and 16 obs not used.

note: {bf:541.cowcc} != 0 predicts failure perfectly;
      {bf:541.cowcc} omitted and 16 obs not used.

note: {bf:551.cowcc} != 0 predicts failure perfectly;
      {bf:551.cowcc} omitted and 27 obs not used.

note: {bf:552.cowcc} != 0 predicts failure perfectly;
      {bf:552.cowcc} omitted and 11 obs not used.

note: {bf:553.cowcc} != 0 predicts failure perfectly;
      {bf:553.cowcc} omitted and 27 obs not used.

note: {bf:565.cowcc} != 0 predicts failure perfectly;
      {bf:565.cowcc} omitted and 1 obs not used.

note: {bf:570.cowcc} != 0 predicts failure perfectly;
      {bf:570.cowcc} omitted and 25 obs not used.

note: {bf:571.cowcc} != 0 predicts failure perfectly;
      {bf:571.cowcc} omitted and 25 obs not used.

note: {bf:572.cowcc} != 0 predicts failure perfectly;
      {bf:572.cowcc} omitted and 14 obs not used.

note: {bf:581.cowcc} != 0 predicts failure perfectly;
      {bf:581.cowcc} omitted and 2 obs not used.

note: {bf:590.cowcc} != 0 predicts failure perfectly;
      {bf:590.cowcc} omitted and 23 obs not used.

note: {bf:600.cowcc} != 0 predicts failure perfectly;
      {bf:600.cowcc} omitted and 35 obs not used.

note: {bf:615.cowcc} != 0 predicts failure perfectly;
      {bf:615.cowcc} omitted and 29 obs not used.

note: {bf:616.cowcc} != 0 predicts failure perfectly;
      {bf:616.cowcc} omitted and 30 obs not used.

note: {bf:625.cowcc} != 0 predicts failure perfectly;
      {bf:625.cowcc} omitted and 35 obs not used.

note: {bf:640.cowcc} != 0 predicts failure perfectly;
      {bf:640.cowcc} omitted and 41 obs not used.

note: {bf:651.cowcc} != 0 predicts failure perfectly;
      {bf:651.cowcc} omitted and 40 obs not used.

note: {bf:652.cowcc} != 0 predicts failure perfectly;
      {bf:652.cowcc} omitted and 30 obs not used.

note: {bf:660.cowcc} != 0 predicts failure perfectly;
      {bf:660.cowcc} omitted and 40 obs not used.

note: {bf:663.cowcc} != 0 predicts failure perfectly;
      {bf:663.cowcc} omitted and 37 obs not used.

note: {bf:670.cowcc} != 0 predicts failure perfectly;
      {bf:670.cowcc} omitted and 41 obs not used.

note: {bf:690.cowcc} != 0 predicts failure perfectly;
      {bf:690.cowcc} omitted and 24 obs not used.

note: {bf:692.cowcc} != 0 predicts failure perfectly;
      {bf:692.cowcc} omitted and 1 obs not used.

note: {bf:698.cowcc} != 0 predicts failure perfectly;
      {bf:698.cowcc} omitted and 20 obs not used.

note: {bf:700.cowcc} != 0 predicts failure perfectly;
      {bf:700.cowcc} omitted and 31 obs not used.

note: {bf:712.cowcc} != 0 predicts failure perfectly;
      {bf:712.cowcc} omitted and 41 obs not used.

note: {bf:740.cowcc} != 0 predicts failure perfectly;
      {bf:740.cowcc} omitted and 39 obs not used.

note: {bf:760.cowcc} != 0 predicts failure perfectly;
      {bf:760.cowcc} omitted and 20 obs not used.

note: {bf:770.cowcc} != 0 predicts success perfectly;
      {bf:770.cowcc} omitted and 14 obs not used.

note: {bf:771.cowcc} != 0 predicts failure perfectly;
      {bf:771.cowcc} omitted and 19 obs not used.

note: {bf:775.cowcc} != 0 predicts failure perfectly;
      {bf:775.cowcc} omitted and 41 obs not used.

note: {bf:780.cowcc} != 0 predicts failure perfectly;
      {bf:780.cowcc} omitted and 41 obs not used.

note: {bf:790.cowcc} != 0 predicts failure perfectly;
      {bf:790.cowcc} omitted and 41 obs not used.

note: {bf:800.cowcc} != 0 predicts failure perfectly;
      {bf:800.cowcc} omitted and 41 obs not used.

note: {bf:811.cowcc} != 0 predicts failure perfectly;
      {bf:811.cowcc} omitted and 27 obs not used.

note: {bf:812.cowcc} != 0 predicts failure perfectly;
      {bf:812.cowcc} omitted and 37 obs not used.

note: {bf:820.cowcc} != 0 predicts failure perfectly;
      {bf:820.cowcc} omitted and 34 obs not used.

note: {bf:830.cowcc} != 0 predicts failure perfectly;
      {bf:830.cowcc} omitted and 26 obs not used.

note: {bf:840.cowcc} != 0 predicts failure perfectly;
      {bf:840.cowcc} omitted and 41 obs not used.

note: {bf:850.cowcc} != 0 predicts failure perfectly;
      {bf:850.cowcc} omitted and 31 obs not used.

note: {bf:900.cowcc} != 0 predicts failure perfectly;
      {bf:900.cowcc} omitted and 41 obs not used.

note: {bf:910.cowcc} != 0 predicts failure perfectly;
      {bf:910.cowcc} omitted and 16 obs not used.

note: {bf:920.cowcc} != 0 predicts failure perfectly;
      {bf:920.cowcc} omitted and 41 obs not used.

note: {bf:950.cowcc} != 0 predicts failure perfectly;
      {bf:950.cowcc} omitted and 21 obs not used.

note: {bf:220.cowcc} omitted because of collinearity.
note: {bf:750.cowcc} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-350.70104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-166.10319}  
Iteration 2:{space 3}log pseudolikelihood = {res:-148.33331}  
Iteration 3:{space 3}log pseudolikelihood = {res:-145.45107}  
Iteration 4:{space 3}log pseudolikelihood = {res:-145.38483}  
Iteration 5:{space 3}log pseudolikelihood = {res: -145.3848}  
Iteration 6:{space 3}log pseudolikelihood = {res: -145.3848}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:537}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(13)}}{col 70} = {res}{ralign 6:.}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-145.3848}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.5854}

{txt}{ralign 79:(Std. err. adjusted for {res:15} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.251373{col 27}{space 2} .6786365{col 38}{space 1}   -1.84{col 47}{space 3}0.065{col 55}{space 4}-2.581476{col 68}{space 3} .0787305
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.206197{col 27}{space 2} 1.094421{col 38}{space 1}   -1.10{col 47}{space 3}0.270{col 55}{space 4}-3.351222{col 68}{space 3} .9388288
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7626647{col 27}{space 2} .5217118{col 38}{space 1}    1.46{col 47}{space 3}0.144{col 55}{space 4}-.2598717{col 68}{space 3} 1.785201
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.127413{col 27}{space 2} .7557604{col 38}{space 1}   -1.49{col 47}{space 3}0.136{col 55}{space 4}-2.608676{col 68}{space 3} .3538503
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .008834{col 27}{space 2} .8617174{col 38}{space 1}    0.01{col 47}{space 3}0.992{col 55}{space 4}-1.680101{col 68}{space 3} 1.697769
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7595273{col 27}{space 2}  .607136{col 38}{space 1}   -1.25{col 47}{space 3}0.211{col 55}{space 4}-1.949492{col 68}{space 3} .4304375
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 5.361552{col 27}{space 2} 1.805295{col 38}{space 1}    2.97{col 47}{space 3}0.003{col 55}{space 4} 1.823239{col 68}{space 3} 8.899865
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.002383{col 27}{space 2} .9579537{col 38}{space 1}    2.09{col 47}{space 3}0.037{col 55}{space 4} .1248279{col 68}{space 3} 3.879937
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-4.215049{col 27}{space 2} 1.451781{col 38}{space 1}   -2.90{col 47}{space 3}0.004{col 55}{space 4}-7.060487{col 68}{space 3} -1.36961
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0842586{col 27}{space 2} .0250705{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} .0351213{col 68}{space 3} .1333959
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4106645{col 27}{space 2} .3989914{col 38}{space 1}    1.03{col 47}{space 3}0.303{col 55}{space 4}-.3713444{col 68}{space 3} 1.192673
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1872449{col 27}{space 2} 1.390023{col 38}{space 1}    0.13{col 47}{space 3}0.893{col 55}{space 4}-2.537151{col 68}{space 3}  2.91164
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.183479{col 27}{space 2} .2352498{col 38}{space 1}   -5.03{col 47}{space 3}0.000{col 55}{space 4} -1.64456{col 68}{space 3}-.7223981
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0632593{col 27}{space 2} .0171499{col 38}{space 1}    3.69{col 47}{space 3}0.000{col 55}{space 4} .0296461{col 68}{space 3} .0968726
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0008867{col 27}{space 2} .0003369{col 38}{space 1}   -2.63{col 47}{space 3}0.008{col 55}{space 4}-.0015469{col 68}{space 3}-.0002265
{txt}{space 13} {c |}
{space 8}cowcc {c |}
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{space 9}812  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}820  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}830  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}840  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}850  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}900  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}910  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}920  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}950  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 7.655206{col 27}{space 2}  4.81316{col 38}{space 1}    1.59{col 47}{space 3}0.112{col 55}{space 4}-1.778414{col 68}{space 3} 17.08883
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Appendix 3: The effect of US leader visit on alliance status (Interaction model) **
. 
. * (a) Regression table of interaction model *
. logit nukepursue_JG l.vis_us l.us_ally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-465.00788}  
Iteration 2:{space 3}log pseudolikelihood = {res:-348.37143}  
Iteration 3:{space 3}log pseudolikelihood = {res:-310.95343}  
Iteration 4:{space 3}log pseudolikelihood = {res:-303.30989}  
Iteration 5:{space 3}log pseudolikelihood = {res: -289.6178}  
Iteration 6:{space 3}log pseudolikelihood = {res:-288.85125}  
Iteration 7:{space 3}log pseudolikelihood = {res:-288.84322}  
Iteration 8:{space 3}log pseudolikelihood = {res:-288.84322}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,263}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:474.53}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-288.84322}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6524}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.256864{col 27}{space 2} .4817634{col 38}{space 1}   -2.61{col 47}{space 3}0.009{col 55}{space 4}-2.201103{col 68}{space 3}-.3126256
{txt}{space 13} {c |}
{space 6}us_ally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6293307{col 27}{space 2} .4583089{col 38}{space 1}   -1.37{col 47}{space 3}0.170{col 55}{space 4}  -1.5276{col 68}{space 3} .2689382
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5558267{col 27}{space 2} .2787268{col 38}{space 1}    1.99{col 47}{space 3}0.046{col 55}{space 4} .0095322{col 68}{space 3} 1.102121
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .9163793{col 27}{space 2} .5866872{col 38}{space 1}    1.56{col 47}{space 3}0.118{col 55}{space 4}-.2335065{col 68}{space 3} 2.066265
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.5944045{col 27}{space 2} .4732492{col 38}{space 1}   -1.26{col 47}{space 3}0.209{col 55}{space 4}-1.521956{col 68}{space 3}  .333147
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.822866{col 27}{space 2} .7749687{col 38}{space 1}    4.93{col 47}{space 3}0.000{col 55}{space 4} 2.303955{col 68}{space 3} 5.341777
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.663147{col 27}{space 2} .4153143{col 38}{space 1}    4.00{col 47}{space 3}0.000{col 55}{space 4} .8491457{col 68}{space 3} 2.477148
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.805399{col 27}{space 2} .4662148{col 38}{space 1}   -1.73{col 47}{space 3}0.084{col 55}{space 4}-1.719163{col 68}{space 3} .1083653
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0198648{col 27}{space 2} .0091414{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .0019479{col 68}{space 3} .0377817
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7905586{col 27}{space 2} .3072064{col 38}{space 1}    2.57{col 47}{space 3}0.010{col 55}{space 4} .1884452{col 68}{space 3} 1.392672
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4271991{col 27}{space 2} .5884354{col 38}{space 1}    0.73{col 47}{space 3}0.468{col 55}{space 4}-.7261131{col 68}{space 3} 1.580511
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.390455{col 27}{space 2} .1837294{col 38}{space 1}   -7.57{col 47}{space 3}0.000{col 55}{space 4}-1.750558{col 68}{space 3}-1.030352
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .074087{col 27}{space 2} .0121841{col 38}{space 1}    6.08{col 47}{space 3}0.000{col 55}{space 4} .0502066{col 68}{space 3} .0979673
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0011528{col 27}{space 2} .0002233{col 38}{space 1}   -5.16{col 47}{space 3}0.000{col 55}{space 4}-.0015905{col 68}{space 3}-.0007151
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.125366{col 27}{space 2} 1.842941{col 38}{space 1}   -2.24{col 47}{space 3}0.025{col 55}{space 4}-7.737464{col 68}{space 3}-.5132692
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG i.l.vis_us##i.l.us_ally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if year<=1991, cluster(cowcc) //Model2

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-464.87353}  
Iteration 2:{space 3}log pseudolikelihood = {res:-348.09614}  
Iteration 3:{space 3}log pseudolikelihood = {res:-309.72052}  
Iteration 4:{space 3}log pseudolikelihood = {res:-298.37853}  
Iteration 5:{space 3}log pseudolikelihood = {res: -289.2349}  
Iteration 6:{space 3}log pseudolikelihood = {res:-288.78016}  
Iteration 7:{space 3}log pseudolikelihood = {res:-288.77593}  
Iteration 8:{space 3}log pseudolikelihood = {res:-288.77593}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,263}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:506.07}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-288.77593}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6525}

{txt}{ralign 84:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     nukepursue_JG{col 20}{c |} Coefficient{col 32}  std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}L.vis_us {c |}
{space 16}1  {c |}{col 20}{res}{space 2}-1.536486{col 32}{space 2} .4222069{col 43}{space 1}   -3.64{col 52}{space 3}0.000{col 60}{space 4}-2.363997{col 73}{space 3} -.708976
{txt}{space 18} {c |}
{space 9}L.us_ally {c |}
{space 16}1  {c |}{col 20}{res}{space 2}-.6568256{col 32}{space 2} .4699723{col 43}{space 1}   -1.40{col 52}{space 3}0.162{col 60}{space 4}-1.577954{col 73}{space 3}  .264303
{txt}{space 18} {c |}
L.vis_us#L.us_ally {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .5148986{col 32}{space 2} .8957977{col 43}{space 1}    0.57{col 52}{space 3}0.565{col 60}{space 4}-1.240833{col 73}{space 3}  2.27063
{txt}{space 18} {c |}
{space 9}gdpcap_ln {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .5539604{col 32}{space 2} .2788461{col 43}{space 1}    1.99{col 52}{space 3}0.047{col 60}{space 4} .0074321{col 73}{space 3} 1.100489
{txt}{space 18} {c |}
{space 10}industry {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .9212431{col 32}{space 2} .5866652{col 43}{space 1}    1.57{col 52}{space 3}0.116{col 60}{space 4}-.2285995{col 73}{space 3} 2.071086
{txt}{space 18} {c |}
{space 14}demo {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.5904694{col 32}{space 2} .4728372{col 43}{space 1}   -1.25{col 52}{space 3}0.212{col 60}{space 4}-1.517213{col 73}{space 3} .3362744
{txt}{space 18} {c |}
{space 8}majorpower {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 3.823942{col 32}{space 2} .7798971{col 43}{space 1}    4.90{col 52}{space 3}0.000{col 60}{space 4} 2.295372{col 73}{space 3} 5.352512
{txt}{space 18} {c |}
{space 10}conflict {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 1.675499{col 32}{space 2} .4156707{col 43}{space 1}    4.03{col 52}{space 3}0.000{col 60}{space 4} .8607996{col 73}{space 3} 2.490199
{txt}{space 18} {c |}
{space 10}npt_rati {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.7963338{col 32}{space 2} .4673535{col 43}{space 1}   -1.70{col 52}{space 3}0.088{col 60}{space 4} -1.71233{col 73}{space 3} .1196622
{txt}{space 18} {c |}
{space 11}npt_eff {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .0197583{col 32}{space 2} .0092223{col 43}{space 1}    2.14{col 52}{space 3}0.032{col 60}{space 4}  .001683{col 73}{space 3} .0378336
{txt}{space 18} {c |}
{space 15}nca {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .7910535{col 32}{space 2} .3067477{col 43}{space 1}    2.58{col 52}{space 3}0.010{col 60}{space 4} .1898391{col 73}{space 3} 1.392268
{txt}{space 18} {c |}
{space 10}senstech {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .4222529{col 32}{space 2} .5847778{col 43}{space 1}    0.72{col 52}{space 3}0.470{col 60}{space 4}-.7238907{col 73}{space 3} 1.568396
{txt}{space 18} {c |}
{space 15}JG1 {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.391315{col 32}{space 2} .1841968{col 43}{space 1}   -7.55{col 52}{space 3}0.000{col 60}{space 4}-1.752334{col 73}{space 3}-1.030296
{txt}{space 18} {c |}
{space 15}JG2 {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .0741573{col 32}{space 2} .0122061{col 43}{space 1}    6.08{col 52}{space 3}0.000{col 60}{space 4} .0502338{col 73}{space 3} .0980807
{txt}{space 18} {c |}
{space 15}JG3 {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.0011539{col 32}{space 2} .0002232{col 43}{space 1}   -5.17{col 52}{space 3}0.000{col 60}{space 4}-.0015914{col 73}{space 3}-.0007163
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-4.113116{col 32}{space 2}  1.84372{col 43}{space 1}   -2.23{col 52}{space 3}0.026{col 60}{space 4} -7.72674{col 73}{space 3}-.4994922
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. 
. * (b) Marginal effectss of interaction model *
. margins, dydx(l.vis_us) at(l.us_ally=(0 1)) level(90) atmeans 
{res}
{txt}{col 1}Conditional marginal effects{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,263}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(nukepursue_JG), predict()}{p_end}
{p2col:dy/dx wrt:}{res:1L.vis_us}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 12:0L.vis_us} = {res:{ralign 8:.9594183}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:1L.vis_us} = {res:{ralign 8:.0405817}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.us_ally} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 12:L.gdpcap_ln} = {res:{ralign 8:8.035822}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.industry} = {res:{ralign 8:.2183908}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.demo} = {res:{ralign 8:.2793807}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.majorpower} = {res:{ralign 8:.0023458}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.conflict} = {res:{ralign 8:.2997889}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.npt_rati} = {res:{ralign 8:.4313863}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.npt_eff} = {res:{ralign 8:40.48171}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.nca} = {res:{ralign 8:.1825006}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.senstech} = {res:{ralign 8:.024396}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.JG1} = {res:{ralign 8:19.60521}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.JG2} = {res:{ralign 8:526.9202}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.JG3} = {res:{ralign 8:16431.54}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 12:0L.vis_us} = {res:{ralign 8:.9594183}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:1L.vis_us} = {res:{ralign 8:.0405817}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.us_ally} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 12:L.gdpcap_ln} = {res:{ralign 8:8.035822}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.industry} = {res:{ralign 8:.2183908}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.demo} = {res:{ralign 8:.2793807}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.majorpower} = {res:{ralign 8:.0023458}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.conflict} = {res:{ralign 8:.2997889}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.npt_rati} = {res:{ralign 8:.4313863}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.npt_eff} = {res:{ralign 8:40.48171}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.nca} = {res:{ralign 8:.1825006}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.senstech} = {res:{ralign 8:.024396}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.JG1} = {res:{ralign 8:19.60521}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.JG2} = {res:{ralign 8:526.9202}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 12:L.JG3} = {res:{ralign 8:16431.54}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [90% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0L.vis_us   {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1L.vis_us    {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0027078{col 26}{space 2} .0013188{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-.0048771{col 67}{space 3}-.0005385
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0011468{col 26}{space 2} .0008197{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.0024951{col 67}{space 3} .0002014
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, ///
>         recast(scatter) ///
>         title("") ///
>     xtitle("US allies") ///
>         xscale(range(-0.2 1.2)) ///
>         xlabel(1 "US non-allies" 0 "US allies", angle(0)) ///
>         ytitle("Marginal Effect of US leader visit (dy/dx)") ///
>         ylabel(, angle(0)) /// 
>         yline(0, lwidth(thin) lpattern(shortdash)) /// 
>         legend(off)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:L.us_ally}{p_end}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}.         
. ** Appendix4 : The effect of superpower leader visit on nuclear pursuit (Singh and Way dataset) **
. logit nukepursue_SW l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.SW1 l.SW2 l.SW3 if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-749.05294}  
Iteration 1:{space 3}log pseudolikelihood = {res:-435.20729}  
Iteration 2:{space 3}log pseudolikelihood = {res:-382.41298}  
Iteration 3:{space 3}log pseudolikelihood = {res:-300.07647}  
Iteration 4:{space 3}log pseudolikelihood = {res:-300.03718}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-300.02755}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-300.02725}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-300.02725}  (backed up)
Iteration 8:{space 3}log pseudolikelihood = {res:-251.59943}  (backed up)
Iteration 9:{space 3}log pseudolikelihood = {res:-250.22182}  
Iteration 10:{space 2}log pseudolikelihood = {res:-250.20594}  
Iteration 11:{space 2}log pseudolikelihood = {res:-250.20593}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:4,266}
{txt}{col 56}{lalign 13:Wald chi2({res:15})}{col 69} = {res}{ralign 7:1834.63}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-250.20593}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.6660}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_SW{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.151419{col 27}{space 2} .5597268{col 38}{space 1}   -2.06{col 47}{space 3}0.040{col 55}{space 4}-2.248464{col 68}{space 3} -.054375
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3702784{col 27}{space 2} 1.124758{col 38}{space 1}    0.33{col 47}{space 3}0.742{col 55}{space 4}-1.834206{col 68}{space 3} 2.574763
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0048649{col 27}{space 2} .5254786{col 38}{space 1}    0.01{col 47}{space 3}0.993{col 55}{space 4}-1.025054{col 68}{space 3} 1.034784
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3643416{col 27}{space 2}  .363922{col 38}{space 1}    1.00{col 47}{space 3}0.317{col 55}{space 4}-.3489323{col 68}{space 3} 1.077616
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.504709{col 27}{space 2} .8553534{col 38}{space 1}    1.76{col 47}{space 3}0.079{col 55}{space 4}-.1717529{col 68}{space 3} 3.181171
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7906388{col 27}{space 2} .5043806{col 38}{space 1}   -1.57{col 47}{space 3}0.117{col 55}{space 4}-1.779207{col 68}{space 3} .1979289
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.309047{col 27}{space 2} .9673508{col 38}{space 1}    3.42{col 47}{space 3}0.001{col 55}{space 4} 1.413074{col 68}{space 3}  5.20502
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.772552{col 27}{space 2}  .503909{col 38}{space 1}    3.52{col 47}{space 3}0.000{col 55}{space 4} .7849081{col 68}{space 3} 2.760195
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.9294954{col 27}{space 2} .5827145{col 38}{space 1}   -1.60{col 47}{space 3}0.111{col 55}{space 4}-2.071595{col 68}{space 3}  .212604
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0179779{col 27}{space 2} .0092808{col 38}{space 1}    1.94{col 47}{space 3}0.053{col 55}{space 4}-.0002121{col 68}{space 3} .0361679
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1203364{col 27}{space 2} .3211191{col 38}{space 1}    0.37{col 47}{space 3}0.708{col 55}{space 4}-.5090455{col 68}{space 3} .7497183
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.134737{col 27}{space 2} .8148789{col 38}{space 1}    1.39{col 47}{space 3}0.164{col 55}{space 4}-.4623966{col 68}{space 3}  2.73187
{txt}{space 13} {c |}
{space 10}SW1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.378803{col 27}{space 2} .1259767{col 38}{space 1}  -10.94{col 47}{space 3}0.000{col 55}{space 4}-1.625713{col 68}{space 3}-1.131894
{txt}{space 13} {c |}
{space 10}SW2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0702669{col 27}{space 2} .0096685{col 38}{space 1}    7.27{col 47}{space 3}0.000{col 55}{space 4}  .051317{col 68}{space 3} .0892168
{txt}{space 13} {c |}
{space 10}SW3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.001037{col 27}{space 2} .0001966{col 38}{space 1}   -5.28{col 47}{space 3}0.000{col 55}{space 4}-.0014223{col 68}{space 3}-.0006518
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.815864{col 27}{space 2} 2.542822{col 38}{space 1}   -1.11{col 47}{space 3}0.268{col 55}{space 4}-7.799703{col 68}{space 3} 2.167974
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit nukepursue_SW l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.SW1 l.SW2 l.SW3 if l.conflict==1 & year<=1991, cluster(cowcc) //Model2 

{txt}note: {bf:L.conflict} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-409.57791}  
Iteration 1:{space 3}log pseudolikelihood = {res:-250.79211}  
Iteration 2:{space 3}log pseudolikelihood = {res:-169.62937}  
Iteration 3:{space 3}log pseudolikelihood = {res:-141.30595}  
Iteration 4:{space 3}log pseudolikelihood = {res:-140.13948}  
Iteration 5:{space 3}log pseudolikelihood = {res:-140.12711}  
Iteration 6:{space 3}log pseudolikelihood = {res:-140.12711}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,281}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:803.98}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-140.12711}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6579}

{txt}{ralign 79:(Std. err. adjusted for {res:47} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_SW{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.576055{col 27}{space 2} .3609267{col 38}{space 1}   -4.37{col 47}{space 3}0.000{col 55}{space 4}-2.283459{col 68}{space 3} -.868652
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.702518{col 27}{space 2} 1.550926{col 38}{space 1}    1.74{col 47}{space 3}0.081{col 55}{space 4} -.337241{col 68}{space 3} 5.742277
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .6368228{col 27}{space 2} .7757082{col 38}{space 1}    0.82{col 47}{space 3}0.412{col 55}{space 4}-.8835374{col 68}{space 3} 2.157183
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.855891{col 27}{space 2} .6982615{col 38}{space 1}   -1.23{col 47}{space 3}0.220{col 55}{space 4}-2.224458{col 68}{space 3} .5126765
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.293596{col 27}{space 2} 1.089758{col 38}{space 1}    2.10{col 47}{space 3}0.035{col 55}{space 4} .1577091{col 68}{space 3} 4.429483
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.360746{col 27}{space 2} 1.026931{col 38}{space 1}   -1.33{col 47}{space 3}0.185{col 55}{space 4}-3.373493{col 68}{space 3} .6520022
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.629129{col 27}{space 2} 1.353229{col 38}{space 1}    2.68{col 47}{space 3}0.007{col 55}{space 4} .9768494{col 68}{space 3} 6.281408
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.661342{col 27}{space 2} .8096348{col 38}{space 1}   -2.05{col 47}{space 3}0.040{col 55}{space 4}-3.248197{col 68}{space 3}-.0744874
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0030476{col 27}{space 2} .0099189{col 38}{space 1}    0.31{col 47}{space 3}0.759{col 55}{space 4} -.016393{col 68}{space 3} .0224883
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0317525{col 27}{space 2} .4737022{col 38}{space 1}   -0.07{col 47}{space 3}0.947{col 55}{space 4}-.9601919{col 68}{space 3} .8966868
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.850502{col 27}{space 2} 1.355173{col 38}{space 1}    2.10{col 47}{space 3}0.035{col 55}{space 4} .1944124{col 68}{space 3} 5.506591
{txt}{space 13} {c |}
{space 10}SW1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.497342{col 27}{space 2} .2235233{col 38}{space 1}   -6.70{col 47}{space 3}0.000{col 55}{space 4}-1.935439{col 68}{space 3}-1.059244
{txt}{space 13} {c |}
{space 10}SW2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0778386{col 27}{space 2} .0142741{col 38}{space 1}    5.45{col 47}{space 3}0.000{col 55}{space 4} .0498619{col 68}{space 3} .1058153
{txt}{space 13} {c |}
{space 10}SW3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0011193{col 27}{space 2} .0002373{col 38}{space 1}   -4.72{col 47}{space 3}0.000{col 55}{space 4}-.0015845{col 68}{space 3}-.0006542
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  8.73935{col 27}{space 2} 5.196634{col 38}{space 1}    1.68{col 47}{space 3}0.093{col 55}{space 4}-1.445865{col 68}{space 3} 18.92456
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit nukepursue_SW l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.SW1 l.SW2 l.SW3 i.year if year<=1991, cluster(cowcc) //Model3

{txt}note: {bf:1952.year} != 0 predicts failure perfectly;
      {bf:1952.year} omitted and 64 obs not used.

note: {bf:1953.year} != 0 predicts failure perfectly;
      {bf:1953.year} omitted and 66 obs not used.

note: {bf:1991.year} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-743.32718}  
Iteration 1:{space 3}log pseudolikelihood = {res:-420.33666}  
Iteration 2:{space 3}log pseudolikelihood = {res:-389.86042}  
Iteration 3:{space 3}log pseudolikelihood = {res:-240.08778}  
Iteration 4:{space 3}log pseudolikelihood = {res:-237.46424}  
Iteration 5:{space 3}log pseudolikelihood = {res:-237.36638}  
Iteration 6:{space 3}log pseudolikelihood = {res:-237.32947}  
Iteration 7:{space 3}log pseudolikelihood = {res:-237.31325}  
Iteration 8:{space 3}log pseudolikelihood = {res:-237.30563}  
Iteration 9:{space 3}log pseudolikelihood = {res:-237.30194}  (backed up)
Iteration 10:{space 2}log pseudolikelihood = {res:-237.30012}  (backed up)
Iteration 11:{space 2}log pseudolikelihood = {res:-237.29921}  (backed up)
Iteration 12:{space 2}log pseudolikelihood = {res:-237.29876}  (backed up)
Iteration 13:{space 2}log pseudolikelihood = {res:-237.29854}  (backed up)
Iteration 14:{space 2}log pseudolikelihood = {res:-237.29843}  (backed up)
Iteration 15:{space 2}log pseudolikelihood = {res:-237.29837}  (backed up)
Iteration 16:{space 2}log pseudolikelihood = {res:-237.29834}  (backed up)
Iteration 17:{space 2}log pseudolikelihood = {res:-237.29833}  (backed up)
Iteration 18:{space 2}log pseudolikelihood = {res:-237.29832}  (backed up)
Iteration 19:{space 2}log pseudolikelihood = {res:-237.29832}  (backed up)
Iteration 20:{space 2}log pseudolikelihood = {res:-237.29832}  (backed up)
Iteration 21:{space 2}log pseudolikelihood = {res:-237.29832}  (backed up)
Iteration 22:{space 2}log pseudolikelihood = {res:-237.29832}  (backed up)
Iteration 23:{space 2}log pseudolikelihood = {res:-237.29832}  (backed up)
Iteration 24:{space 2}log pseudolikelihood = {res:-230.56809}  (backed up)
Iteration 25:{space 2}log pseudolikelihood = {res:-223.66183}  
Iteration 26:{space 2}log pseudolikelihood = {res:-219.67965}  
Iteration 27:{space 2}log pseudolikelihood = {res:-219.37115}  
Iteration 28:{space 2}log pseudolikelihood = {res:-219.31749}  
Iteration 29:{space 2}log pseudolikelihood = {res:-219.30537}  
Iteration 30:{space 2}log pseudolikelihood = {res:-219.30234}  
Iteration 31:{space 2}log pseudolikelihood = {res:-219.30175}  
Iteration 32:{space 2}log pseudolikelihood = {res:-219.30166}  
Iteration 33:{space 2}log pseudolikelihood = {res:-219.30164}  
Iteration 34:{space 2}log pseudolikelihood = {res:-219.30163}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,136}
{txt}{col 57}{lalign 13:{help j_robustsingular##|_new:Wald chi2(17)}}{col 70} = {res}{ralign 6:.}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:.}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-219.30163}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.7050}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_SW{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.409313{col 27}{space 2} .5638779{col 38}{space 1}   -2.50{col 47}{space 3}0.012{col 55}{space 4}-2.514493{col 68}{space 3}-.3041322
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7887201{col 27}{space 2} 1.120616{col 38}{space 1}    0.70{col 47}{space 3}0.482{col 55}{space 4}-1.407646{col 68}{space 3} 2.985086
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1919539{col 27}{space 2} .5597024{col 38}{space 1}    0.34{col 47}{space 3}0.732{col 55}{space 4}-.9050426{col 68}{space 3}  1.28895
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3240955{col 27}{space 2} .3857521{col 38}{space 1}    0.84{col 47}{space 3}0.401{col 55}{space 4}-.4319648{col 68}{space 3} 1.080156
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.560423{col 27}{space 2} .9090939{col 38}{space 1}    1.72{col 47}{space 3}0.086{col 55}{space 4}-.2213679{col 68}{space 3} 3.342215
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7807396{col 27}{space 2} .5631906{col 38}{space 1}   -1.39{col 47}{space 3}0.166{col 55}{space 4}-1.884573{col 68}{space 3} .3230937
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 36.28691{col 27}{space 2} 1.669467{col 38}{space 1}   21.74{col 47}{space 3}0.000{col 55}{space 4} 33.01481{col 68}{space 3} 39.55901
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.789319{col 27}{space 2} .6072484{col 38}{space 1}    2.95{col 47}{space 3}0.003{col 55}{space 4} .5991338{col 68}{space 3} 2.979504
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.042807{col 27}{space 2} .5524162{col 38}{space 1}   -1.89{col 47}{space 3}0.059{col 55}{space 4}-2.125523{col 68}{space 3} .0399085
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4323992{col 27}{space 2} .0315616{col 38}{space 1}   13.70{col 47}{space 3}0.000{col 55}{space 4} .3705396{col 68}{space 3} .4942587
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0901021{col 27}{space 2} .4144823{col 38}{space 1}    0.22{col 47}{space 3}0.828{col 55}{space 4}-.7222683{col 68}{space 3} .9024724
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.183333{col 27}{space 2} .9318528{col 38}{space 1}    1.27{col 47}{space 3}0.204{col 55}{space 4}-.6430648{col 68}{space 3} 3.009731
{txt}{space 13} {c |}
{space 10}SW1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.501665{col 27}{space 2}   .15759{col 38}{space 1}   -9.53{col 47}{space 3}0.000{col 55}{space 4}-1.810536{col 68}{space 3}-1.192794
{txt}{space 13} {c |}
{space 10}SW2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0756812{col 27}{space 2} .0095715{col 38}{space 1}    7.91{col 47}{space 3}0.000{col 55}{space 4} .0569213{col 68}{space 3}  .094441
{txt}{space 13} {c |}
{space 10}SW3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010996{col 27}{space 2} .0001656{col 38}{space 1}   -6.64{col 47}{space 3}0.000{col 55}{space 4}-.0014241{col 68}{space 3}-.0007751
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1952  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 8}1953  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 8}1954  {c |}{col 15}{res}{space 2} 20.65008{col 27}{space 2} 1.482059{col 38}{space 1}   13.93{col 47}{space 3}0.000{col 55}{space 4}  17.7453{col 68}{space 3} 23.55486
{txt}{space 8}1955  {c |}{col 15}{res}{space 2} 20.54002{col 27}{space 2} 2.187295{col 38}{space 1}    9.39{col 47}{space 3}0.000{col 55}{space 4}   16.253{col 68}{space 3} 24.82704
{txt}{space 8}1956  {c |}{col 15}{res}{space 2} 13.94121{col 27}{space 2} 1.737832{col 38}{space 1}    8.02{col 47}{space 3}0.000{col 55}{space 4} 10.53512{col 68}{space 3}  17.3473
{txt}{space 8}1957  {c |}{col 15}{res}{space 2} 15.09674{col 27}{space 2} 1.913894{col 38}{space 1}    7.89{col 47}{space 3}0.000{col 55}{space 4} 11.34557{col 68}{space 3}  18.8479
{txt}{space 8}1958  {c |}{col 15}{res}{space 2} 35.81272{col 27}{space 2} .7051055{col 38}{space 1}   50.79{col 47}{space 3}0.000{col 55}{space 4} 34.43074{col 68}{space 3}  37.1947
{txt}{space 8}1959  {c |}{col 15}{res}{space 2} 36.71698{col 27}{space 2} 1.576414{col 38}{space 1}   23.29{col 47}{space 3}0.000{col 55}{space 4} 33.62726{col 68}{space 3} 39.80669
{txt}{space 8}1960  {c |}{col 15}{res}{space 2} 35.99741{col 27}{space 2} 2.385477{col 38}{space 1}   15.09{col 47}{space 3}0.000{col 55}{space 4} 31.32196{col 68}{space 3} 40.67286
{txt}{space 8}1961  {c |}{col 15}{res}{space 2} 35.06411{col 27}{space 2} 2.043778{col 38}{space 1}   17.16{col 47}{space 3}0.000{col 55}{space 4} 31.05838{col 68}{space 3} 39.06984
{txt}{space 8}1962  {c |}{col 15}{res}{space 2} 35.84582{col 27}{space 2} 2.332564{col 38}{space 1}   15.37{col 47}{space 3}0.000{col 55}{space 4} 31.27408{col 68}{space 3} 40.41757
{txt}{space 8}1963  {c |}{col 15}{res}{space 2} 35.16982{col 27}{space 2} 1.348567{col 38}{space 1}   26.08{col 47}{space 3}0.000{col 55}{space 4} 32.52668{col 68}{space 3} 37.81296
{txt}{space 8}1964  {c |}{col 15}{res}{space 2} 36.37757{col 27}{space 2} 1.516527{col 38}{space 1}   23.99{col 47}{space 3}0.000{col 55}{space 4} 33.40523{col 68}{space 3} 39.34991
{txt}{space 8}1965  {c |}{col 15}{res}{space 2} 37.21354{col 27}{space 2} 2.823067{col 38}{space 1}   13.18{col 47}{space 3}0.000{col 55}{space 4} 31.68043{col 68}{space 3} 42.74665
{txt}{space 8}1966  {c |}{col 15}{res}{space 2} 36.79287{col 27}{space 2} 1.264724{col 38}{space 1}   29.09{col 47}{space 3}0.000{col 55}{space 4} 34.31406{col 68}{space 3} 39.27168
{txt}{space 8}1967  {c |}{col 15}{res}{space 2} 36.84653{col 27}{space 2}        .{col 38}{space 1}       .{col 47}{space 3}    .{col 55}{space 4}        .{col 68}{space 3}        .
{txt}{space 8}1968  {c |}{col 15}{res}{space 2} 37.42603{col 27}{space 2} 2.308926{col 38}{space 1}   16.21{col 47}{space 3}0.000{col 55}{space 4} 32.90062{col 68}{space 3} 41.95144
{txt}{space 8}1969  {c |}{col 15}{res}{space 2} 35.71281{col 27}{space 2} 1.945623{col 38}{space 1}   18.36{col 47}{space 3}0.000{col 55}{space 4} 31.89946{col 68}{space 3} 39.52616
{txt}{space 8}1970  {c |}{col 15}{res}{space 2} 30.50733{col 27}{space 2} 1.954244{col 38}{space 1}   15.61{col 47}{space 3}0.000{col 55}{space 4} 26.67708{col 68}{space 3} 34.33758
{txt}{space 8}1971  {c |}{col 15}{res}{space 2} 17.66023{col 27}{space 2} 1.136413{col 38}{space 1}   15.54{col 47}{space 3}0.000{col 55}{space 4}  15.4329{col 68}{space 3} 19.88756
{txt}{space 8}1972  {c |}{col 15}{res}{space 2} 16.14862{col 27}{space 2} 1.350028{col 38}{space 1}   11.96{col 47}{space 3}0.000{col 55}{space 4} 13.50262{col 68}{space 3} 18.79463
{txt}{space 8}1973  {c |}{col 15}{res}{space 2} 15.06254{col 27}{space 2} 1.353645{col 38}{space 1}   11.13{col 47}{space 3}0.000{col 55}{space 4} 12.40945{col 68}{space 3} 17.71564
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} 13.55235{col 27}{space 2} .9565343{col 38}{space 1}   14.17{col 47}{space 3}0.000{col 55}{space 4} 11.67758{col 68}{space 3} 15.42713
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} 13.20436{col 27}{space 2} 1.145706{col 38}{space 1}   11.53{col 47}{space 3}0.000{col 55}{space 4} 10.95881{col 68}{space 3}  15.4499
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} 9.721135{col 27}{space 2} .8349356{col 38}{space 1}   11.64{col 47}{space 3}0.000{col 55}{space 4} 8.084691{col 68}{space 3} 11.35758
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} 8.543752{col 27}{space 2} .8120738{col 38}{space 1}   10.52{col 47}{space 3}0.000{col 55}{space 4} 6.952117{col 68}{space 3} 10.13539
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 8.690862{col 27}{space 2} 1.505343{col 38}{space 1}    5.77{col 47}{space 3}0.000{col 55}{space 4} 5.740444{col 68}{space 3} 11.64128
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} 8.612574{col 27}{space 2} 1.676627{col 38}{space 1}    5.14{col 47}{space 3}0.000{col 55}{space 4} 5.326446{col 68}{space 3}  11.8987
{txt}{space 8}1980  {c |}{col 15}{res}{space 2}   7.3283{col 27}{space 2} 1.197538{col 38}{space 1}    6.12{col 47}{space 3}0.000{col 55}{space 4} 4.981168{col 68}{space 3} 9.675432
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} 6.943908{col 27}{space 2} 1.190127{col 38}{space 1}    5.83{col 47}{space 3}0.000{col 55}{space 4} 4.611302{col 68}{space 3} 9.276515
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} 7.347742{col 27}{space 2} 1.068971{col 38}{space 1}    6.87{col 47}{space 3}0.000{col 55}{space 4} 5.252597{col 68}{space 3} 9.442887
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} 6.894801{col 27}{space 2} .9922886{col 38}{space 1}    6.95{col 47}{space 3}0.000{col 55}{space 4} 4.949951{col 68}{space 3} 8.839651
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} 6.656418{col 27}{space 2} .7987496{col 38}{space 1}    8.33{col 47}{space 3}0.000{col 55}{space 4} 5.090898{col 68}{space 3} 8.221938
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} 6.639714{col 27}{space 2} .9703756{col 38}{space 1}    6.84{col 47}{space 3}0.000{col 55}{space 4} 4.737813{col 68}{space 3} 8.541615
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} 5.235016{col 27}{space 2} 1.019482{col 38}{space 1}    5.13{col 47}{space 3}0.000{col 55}{space 4} 3.236868{col 68}{space 3} 7.233165
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} 3.663397{col 27}{space 2} .9472079{col 38}{space 1}    3.87{col 47}{space 3}0.000{col 55}{space 4} 1.806903{col 68}{space 3}  5.51989
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} 3.281853{col 27}{space 2} .9540817{col 38}{space 1}    3.44{col 47}{space 3}0.001{col 55}{space 4} 1.411887{col 68}{space 3} 5.151819
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} 2.820988{col 27}{space 2} .9664948{col 38}{space 1}    2.92{col 47}{space 3}0.004{col 55}{space 4} .9266934{col 68}{space 3} 4.715283
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} 2.429644{col 27}{space 2}  1.01044{col 38}{space 1}    2.40{col 47}{space 3}0.016{col 55}{space 4}  .449218{col 68}{space 3}  4.41007
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-38.30235{col 27}{space 2} 3.335832{col 38}{space 1}  -11.48{col 47}{space 3}0.000{col 55}{space 4}-44.84046{col 68}{space 3}-31.76424
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 335 failures and 2 successes completely determined.{p_end}

{com}. logit nukepursue_SW l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.SW1 l.SW2 l.SW3 if l.us_ally==1 & year<=1991, cluster(cowcc) //Model4

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-273.38568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-154.81169}  
Iteration 2:{space 3}log pseudolikelihood = {res:-125.78667}  
Iteration 3:{space 3}log pseudolikelihood = {res:-92.256023}  
Iteration 4:{space 3}log pseudolikelihood = {res:-82.794713}  
Iteration 5:{space 3}log pseudolikelihood = {res:-80.815651}  
Iteration 6:{space 3}log pseudolikelihood = {res:-80.608216}  
Iteration 7:{space 3}log pseudolikelihood = {res:-80.607205}  
Iteration 8:{space 3}log pseudolikelihood = {res:-80.607204}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:1,492}
{txt}{col 56}{lalign 13:Wald chi2({res:13})}{col 69} = {res}{ralign 7:4117.27}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-80.607204}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.7052}

{txt}{ralign 79:(Std. err. adjusted for {res:42} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_SW{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.284844{col 27}{space 2} .8024861{col 38}{space 1}   -1.60{col 47}{space 3}0.109{col 55}{space 4}-2.857688{col 68}{space 3} .2879997
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3493007{col 27}{space 2} .6923391{col 38}{space 1}   -0.50{col 47}{space 3}0.614{col 55}{space 4} -1.70626{col 68}{space 3} 1.007659
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.379674{col 27}{space 2} .7411109{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.0728765{col 68}{space 3} 2.832225
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.326526{col 27}{space 2} .7287716{col 38}{space 1}   -1.82{col 47}{space 3}0.069{col 55}{space 4}-2.754892{col 68}{space 3} .1018404
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.464981{col 27}{space 2} 1.225928{col 38}{space 1}    2.83{col 47}{space 3}0.005{col 55}{space 4} 1.062206{col 68}{space 3} 5.867756
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.209484{col 27}{space 2} .6500216{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.0645345{col 68}{space 3} 2.483503
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-3.545904{col 27}{space 2} .8316404{col 38}{space 1}   -4.26{col 47}{space 3}0.000{col 55}{space 4}-5.175889{col 68}{space 3}-1.915919
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .009264{col 27}{space 2} .0137027{col 38}{space 1}    0.68{col 47}{space 3}0.499{col 55}{space 4}-.0175929{col 68}{space 3} .0361208
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.5781766{col 27}{space 2} .3087363{col 38}{space 1}   -1.87{col 47}{space 3}0.061{col 55}{space 4}-1.183289{col 68}{space 3} .0269354
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}   -.1913{col 27}{space 2} .5726545{col 38}{space 1}   -0.33{col 47}{space 3}0.738{col 55}{space 4}-1.313682{col 68}{space 3} .9310821
{txt}{space 13} {c |}
{space 10}SW1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.950679{col 27}{space 2} .3523943{col 38}{space 1}   -5.54{col 47}{space 3}0.000{col 55}{space 4}-2.641359{col 68}{space 3}-1.259999
{txt}{space 13} {c |}
{space 10}SW2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1081777{col 27}{space 2} .0234394{col 38}{space 1}    4.62{col 47}{space 3}0.000{col 55}{space 4} .0622373{col 68}{space 3} .1541181
{txt}{space 13} {c |}
{space 10}SW3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0017116{col 27}{space 2} .0004576{col 38}{space 1}   -3.74{col 47}{space 3}0.000{col 55}{space 4}-.0026085{col 68}{space 3}-.0008148
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 6.813599{col 27}{space 2} 6.287754{col 38}{space 1}    1.08{col 47}{space 3}0.279{col 55}{space 4}-5.510173{col 68}{space 3} 19.13737
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 89 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_SW l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.SW1 l.SW2 l.SW3 if l.us_ally==0 & year<=1991, cluster(cowcc) //Model5

{txt}note: {bf:L.majorpower} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-475.49534}  
Iteration 1:{space 3}log pseudolikelihood = {res:-265.29128}  
Iteration 2:{space 3}log pseudolikelihood = {res:-162.72033}  
Iteration 3:{space 3}log pseudolikelihood = {res:-141.58436}  
Iteration 4:{space 3}log pseudolikelihood = {res:-140.05139}  
Iteration 5:{space 3}log pseudolikelihood = {res:-140.03777}  
Iteration 6:{space 3}log pseudolikelihood = {res:-140.03776}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,774}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:595.49}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-140.03776}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.7055}

{txt}{ralign 79:(Std. err. adjusted for {res:102} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_SW{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -1.98229{col 27}{space 2} .5542402{col 38}{space 1}   -3.58{col 47}{space 3}0.000{col 55}{space 4}-3.068581{col 68}{space 3}-.8959992
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .2954795{col 27}{space 2} .4122683{col 38}{space 1}    0.72{col 47}{space 3}0.474{col 55}{space 4}-.5125515{col 68}{space 3} 1.103511
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.652778{col 27}{space 2} .9382391{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4}-.1861365{col 68}{space 3} 3.491693
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.8881434{col 27}{space 2} .8029892{col 38}{space 1}   -1.11{col 47}{space 3}0.269{col 55}{space 4}-2.461973{col 68}{space 3} .6856866
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.615939{col 27}{space 2} .5932016{col 38}{space 1}    4.41{col 47}{space 3}0.000{col 55}{space 4} 1.453285{col 68}{space 3} 3.778592
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4432459{col 27}{space 2} .5050617{col 38}{space 1}    0.88{col 47}{space 3}0.380{col 55}{space 4}-.5466568{col 68}{space 3} 1.433149
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0219886{col 27}{space 2} .0118361{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.0012096{col 68}{space 3} .0451869
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .2943402{col 27}{space 2} .5066624{col 38}{space 1}    0.58{col 47}{space 3}0.561{col 55}{space 4}-.6986998{col 68}{space 3}  1.28738
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.100932{col 27}{space 2} .7752342{col 38}{space 1}    1.42{col 47}{space 3}0.156{col 55}{space 4}-.4184995{col 68}{space 3} 2.620363
{txt}{space 13} {c |}
{space 10}SW1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -1.47698{col 27}{space 2} .2491367{col 38}{space 1}   -5.93{col 47}{space 3}0.000{col 55}{space 4}-1.965278{col 68}{space 3}-.9886806
{txt}{space 13} {c |}
{space 10}SW2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0697449{col 27}{space 2} .0154983{col 38}{space 1}    4.50{col 47}{space 3}0.000{col 55}{space 4} .0393689{col 68}{space 3}  .100121
{txt}{space 13} {c |}
{space 10}SW3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0009695{col 27}{space 2} .0002612{col 38}{space 1}   -3.71{col 47}{space 3}0.000{col 55}{space 4}-.0014815{col 68}{space 3}-.0004576
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-2.884548{col 27}{space 2} 2.918139{col 38}{space 1}   -0.99{col 47}{space 3}0.323{col 55}{space 4}-8.603996{col 68}{space 3}   2.8349
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Appendix 5: The effect of superpower leader visit on nuclear pursuit (Smith and Malis dataset) **
. logit nukepursue_JG l.vis_us_smith l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-464.85047}  
Iteration 2:{space 3}log pseudolikelihood = {res:-348.91913}  
Iteration 3:{space 3}log pseudolikelihood = {res:-312.34627}  
Iteration 4:{space 3}log pseudolikelihood = {res:-304.80795}  
Iteration 5:{space 3}log pseudolikelihood = {res:-291.27186}  
Iteration 6:{space 3}log pseudolikelihood = {res:-290.51619}  
Iteration 7:{space 3}log pseudolikelihood = {res:-290.50858}  
Iteration 8:{space 3}log pseudolikelihood = {res:-290.50858}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,263}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:445.62}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-290.50858}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6504}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}vis_us_smith {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.313162{col 27}{space 2}  .526998{col 38}{space 1}   -2.49{col 47}{space 3}0.013{col 55}{space 4}-2.346059{col 68}{space 3}-.2802646
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.305743{col 27}{space 2} .5173272{col 38}{space 1}   -0.59{col 47}{space 3}0.555{col 55}{space 4}-1.319686{col 68}{space 3} .7081997
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.288957{col 27}{space 2} .3936589{col 38}{space 1}   -0.73{col 47}{space 3}0.463{col 55}{space 4}-1.060514{col 68}{space 3} .4826003
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5044262{col 27}{space 2} .2799142{col 38}{space 1}    1.80{col 47}{space 3}0.072{col 55}{space 4}-.0441955{col 68}{space 3} 1.053048
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .9804239{col 27}{space 2} .5977629{col 38}{space 1}    1.64{col 47}{space 3}0.101{col 55}{space 4}-.1911698{col 68}{space 3} 2.152018
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6118916{col 27}{space 2} .4826542{col 38}{space 1}   -1.27{col 47}{space 3}0.205{col 55}{space 4}-1.557877{col 68}{space 3} .3340933
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.537697{col 27}{space 2} .7204828{col 38}{space 1}    4.91{col 47}{space 3}0.000{col 55}{space 4} 2.125577{col 68}{space 3} 4.949817
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.621398{col 27}{space 2} .4080769{col 38}{space 1}    3.97{col 47}{space 3}0.000{col 55}{space 4}  .821582{col 68}{space 3} 2.421214
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7413215{col 27}{space 2} .4728467{col 38}{space 1}   -1.57{col 47}{space 3}0.117{col 55}{space 4}-1.668084{col 68}{space 3} .1854411
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0188865{col 27}{space 2} .0092869{col 38}{space 1}    2.03{col 47}{space 3}0.042{col 55}{space 4} .0006846{col 68}{space 3} .0370884
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7528146{col 27}{space 2} .3076483{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .1498349{col 68}{space 3} 1.355794
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .509401{col 27}{space 2} .6392724{col 38}{space 1}    0.80{col 47}{space 3}0.426{col 55}{space 4}-.7435499{col 68}{space 3} 1.762352
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.407864{col 27}{space 2} .1808764{col 38}{space 1}   -7.78{col 47}{space 3}0.000{col 55}{space 4}-1.762375{col 68}{space 3}-1.053353
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0754124{col 27}{space 2} .0120336{col 38}{space 1}    6.27{col 47}{space 3}0.000{col 55}{space 4}  .051827{col 68}{space 3} .0989978
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0011778{col 27}{space 2} .0002227{col 38}{space 1}   -5.29{col 47}{space 3}0.000{col 55}{space 4}-.0016144{col 68}{space 3}-.0007412
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.668918{col 27}{space 2} 1.834233{col 38}{space 1}   -2.00{col 47}{space 3}0.045{col 55}{space 4}-7.263948{col 68}{space 3}-.0738878
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us_smith l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.conflict==1 & year<=1991, cluster(cowcc) //Model2 

{txt}note: {bf:L.conflict} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-409.26951}  
Iteration 1:{space 3}log pseudolikelihood = {res:-261.92203}  
Iteration 2:{space 3}log pseudolikelihood = {res: -184.1398}  
Iteration 3:{space 3}log pseudolikelihood = {res:-162.06436}  
Iteration 4:{space 3}log pseudolikelihood = {res:-160.61456}  
Iteration 5:{space 3}log pseudolikelihood = {res: -160.5196}  
Iteration 6:{space 3}log pseudolikelihood = {res:-160.51928}  
Iteration 7:{space 3}log pseudolikelihood = {res:-160.51928}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,278}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:574.95}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-160.51928}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6078}

{txt}{ralign 79:(Std. err. adjusted for {res:47} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}vis_us_smith {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  -.96291{col 27}{space 2} .3896768{col 38}{space 1}   -2.47{col 47}{space 3}0.013{col 55}{space 4}-1.726662{col 68}{space 3}-.1991575
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.331305{col 27}{space 2} .5511812{col 38}{space 1}    2.42{col 47}{space 3}0.016{col 55}{space 4} .2510095{col 68}{space 3}   2.4116
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .181963{col 27}{space 2} .5494526{col 38}{space 1}    0.33{col 47}{space 3}0.741{col 55}{space 4}-.8949443{col 68}{space 3}  1.25887
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .011756{col 27}{space 2}   .32815{col 38}{space 1}    0.04{col 47}{space 3}0.971{col 55}{space 4}-.6314061{col 68}{space 3} .6549181
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .536122{col 27}{space 2} .6998351{col 38}{space 1}    0.77{col 47}{space 3}0.444{col 55}{space 4}-.8355297{col 68}{space 3} 1.907774
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.281025{col 27}{space 2} .7040121{col 38}{space 1}   -0.40{col 47}{space 3}0.690{col 55}{space 4}-1.660863{col 68}{space 3} 1.098813
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.217363{col 27}{space 2} .8721833{col 38}{space 1}    3.69{col 47}{space 3}0.000{col 55}{space 4} 1.507916{col 68}{space 3} 4.926811
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.195246{col 27}{space 2} .7393306{col 38}{space 1}   -1.62{col 47}{space 3}0.106{col 55}{space 4}-2.644307{col 68}{space 3} .2538155
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0238828{col 27}{space 2}  .010815{col 38}{space 1}    2.21{col 47}{space 3}0.027{col 55}{space 4} .0026859{col 68}{space 3} .0450797
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .481711{col 27}{space 2} .4208504{col 38}{space 1}    1.14{col 47}{space 3}0.252{col 55}{space 4}-.3431406{col 68}{space 3} 1.306563
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7705829{col 27}{space 2}  .624391{col 38}{space 1}    1.23{col 47}{space 3}0.217{col 55}{space 4}-.4532009{col 68}{space 3} 1.994367
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.216031{col 27}{space 2} .2119338{col 38}{space 1}   -5.74{col 47}{space 3}0.000{col 55}{space 4}-1.631414{col 68}{space 3}-.8006486
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0651649{col 27}{space 2}  .014776{col 38}{space 1}    4.41{col 47}{space 3}0.000{col 55}{space 4} .0362045{col 68}{space 3} .0941254
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.001031{col 27}{space 2} .0002764{col 38}{space 1}   -3.73{col 47}{space 3}0.000{col 55}{space 4}-.0015727{col 68}{space 3}-.0004892
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 1.306132{col 27}{space 2} 2.027405{col 38}{space 1}    0.64{col 47}{space 3}0.519{col 55}{space 4}-2.667508{col 68}{space 3} 5.279773
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit nukepursue_JG l.vis_us_smith l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 i.year if year<=1991, cluster(cowcc) //Model3

{txt}note: {bf:1991.year} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-831.04063}  
Iteration 1:{space 3}log pseudolikelihood = {res:-468.46664}  
Iteration 2:{space 3}log pseudolikelihood = {res:-330.85062}  
Iteration 3:{space 3}log pseudolikelihood = {res:-279.94465}  
Iteration 4:{space 3}log pseudolikelihood = {res:-270.83329}  
Iteration 5:{space 3}log pseudolikelihood = {res:-269.48699}  
Iteration 6:{space 3}log pseudolikelihood = {res:-269.45004}  
Iteration 7:{space 3}log pseudolikelihood = {res:-269.44998}  
Iteration 8:{space 3}log pseudolikelihood = {res:-269.44998}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:4,263}
{txt}{col 56}{lalign 13:Wald chi2({res:54})}{col 69} = {res}{ralign 7:7947.80}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-269.44998}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.6758}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}vis_us_smith {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.072431{col 27}{space 2} .4672359{col 38}{space 1}   -2.30{col 47}{space 3}0.022{col 55}{space 4}-1.988197{col 68}{space 3}-.1566656
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.4728944{col 27}{space 2} .4034806{col 38}{space 1}   -1.17{col 47}{space 3}0.241{col 55}{space 4}-1.263702{col 68}{space 3}  .317913
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2695223{col 27}{space 2} .4806297{col 38}{space 1}   -0.56{col 47}{space 3}0.575{col 55}{space 4}-1.211539{col 68}{space 3} .6724946
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4260719{col 27}{space 2} .3065704{col 38}{space 1}    1.39{col 47}{space 3}0.165{col 55}{space 4} -.174795{col 68}{space 3} 1.026939
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .8659325{col 27}{space 2} .6756503{col 38}{space 1}    1.28{col 47}{space 3}0.200{col 55}{space 4}-.4583178{col 68}{space 3} 2.190183
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7065954{col 27}{space 2} .5232397{col 38}{space 1}   -1.35{col 47}{space 3}0.177{col 55}{space 4}-1.732126{col 68}{space 3} .3189356
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.819631{col 27}{space 2} 1.263037{col 38}{space 1}    3.02{col 47}{space 3}0.002{col 55}{space 4} 1.344125{col 68}{space 3} 6.295137
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.581766{col 27}{space 2} .4840882{col 38}{space 1}    3.27{col 47}{space 3}0.001{col 55}{space 4} .6329705{col 68}{space 3} 2.530561
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.8703009{col 27}{space 2} .5248614{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4} -1.89901{col 68}{space 3} .1584086
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0075908{col 27}{space 2} .0223081{col 38}{space 1}    0.34{col 47}{space 3}0.734{col 55}{space 4}-.0361323{col 68}{space 3} .0513139
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.050006{col 27}{space 2} .3402498{col 38}{space 1}    3.09{col 47}{space 3}0.002{col 55}{space 4} .3831292{col 68}{space 3} 1.716884
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .6101377{col 27}{space 2} .6479398{col 38}{space 1}    0.94{col 47}{space 3}0.346{col 55}{space 4}-.6598009{col 68}{space 3} 1.880076
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.577084{col 27}{space 2} .1991949{col 38}{space 1}   -7.92{col 47}{space 3}0.000{col 55}{space 4}-1.967499{col 68}{space 3} -1.18667
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0846522{col 27}{space 2} .0125068{col 38}{space 1}    6.77{col 47}{space 3}0.000{col 55}{space 4} .0601393{col 68}{space 3} .1091651
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0013139{col 27}{space 2} .0002112{col 38}{space 1}   -6.22{col 47}{space 3}0.000{col 55}{space 4}-.0017279{col 68}{space 3}-.0008999
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1952  {c |}{col 15}{res}{space 2}-.1411878{col 27}{space 2} .4503752{col 38}{space 1}   -0.31{col 47}{space 3}0.754{col 55}{space 4}-1.023907{col 68}{space 3} .7415314
{txt}{space 8}1953  {c |}{col 15}{res}{space 2} 1.380456{col 27}{space 2} 1.292644{col 38}{space 1}    1.07{col 47}{space 3}0.286{col 55}{space 4}-1.153081{col 68}{space 3} 3.913992
{txt}{space 8}1954  {c |}{col 15}{res}{space 2} 2.690721{col 27}{space 2} 1.530212{col 38}{space 1}    1.76{col 47}{space 3}0.079{col 55}{space 4}-.3084389{col 68}{space 3} 5.689882
{txt}{space 8}1955  {c |}{col 15}{res}{space 2} 2.232972{col 27}{space 2} 1.709519{col 38}{space 1}    1.31{col 47}{space 3}0.191{col 55}{space 4}-1.117623{col 68}{space 3} 5.583567
{txt}{space 8}1956  {c |}{col 15}{res}{space 2} 1.169493{col 27}{space 2} 1.576602{col 38}{space 1}    0.74{col 47}{space 3}0.458{col 55}{space 4}-1.920591{col 68}{space 3} 4.259576
{txt}{space 8}1957  {c |}{col 15}{res}{space 2} .1820572{col 27}{space 2} 1.385085{col 38}{space 1}    0.13{col 47}{space 3}0.895{col 55}{space 4}-2.532659{col 68}{space 3} 2.896774
{txt}{space 8}1958  {c |}{col 15}{res}{space 2} .9433722{col 27}{space 2} 1.443211{col 38}{space 1}    0.65{col 47}{space 3}0.513{col 55}{space 4}-1.885269{col 68}{space 3} 3.772014
{txt}{space 8}1959  {c |}{col 15}{res}{space 2} 1.734177{col 27}{space 2} 1.380585{col 38}{space 1}    1.26{col 47}{space 3}0.209{col 55}{space 4}-.9717204{col 68}{space 3} 4.440074
{txt}{space 8}1960  {c |}{col 15}{res}{space 2} 1.931545{col 27}{space 2}  1.37539{col 38}{space 1}    1.40{col 47}{space 3}0.160{col 55}{space 4}-.7641694{col 68}{space 3} 4.627259
{txt}{space 8}1961  {c |}{col 15}{res}{space 2} .1508451{col 27}{space 2} 1.334539{col 38}{space 1}    0.11{col 47}{space 3}0.910{col 55}{space 4}-2.464803{col 68}{space 3} 2.766493
{txt}{space 8}1962  {c |}{col 15}{res}{space 2} .6714998{col 27}{space 2} 1.271467{col 38}{space 1}    0.53{col 47}{space 3}0.597{col 55}{space 4}-1.820531{col 68}{space 3}  3.16353
{txt}{space 8}1963  {c |}{col 15}{res}{space 2}  .124801{col 27}{space 2} 1.424904{col 38}{space 1}    0.09{col 47}{space 3}0.930{col 55}{space 4} -2.66796{col 68}{space 3} 2.917562
{txt}{space 8}1964  {c |}{col 15}{res}{space 2} .7720417{col 27}{space 2} 1.508615{col 38}{space 1}    0.51{col 47}{space 3}0.609{col 55}{space 4} -2.18479{col 68}{space 3} 3.728874
{txt}{space 8}1965  {c |}{col 15}{res}{space 2} .9875165{col 27}{space 2} 1.504593{col 38}{space 1}    0.66{col 47}{space 3}0.512{col 55}{space 4}-1.961432{col 68}{space 3} 3.936465
{txt}{space 8}1966  {c |}{col 15}{res}{space 2}-1.163946{col 27}{space 2} 1.406791{col 38}{space 1}   -0.83{col 47}{space 3}0.408{col 55}{space 4}-3.921205{col 68}{space 3} 1.593313
{txt}{space 8}1967  {c |}{col 15}{res}{space 2} .2801363{col 27}{space 2} 1.818256{col 38}{space 1}    0.15{col 47}{space 3}0.878{col 55}{space 4} -3.28358{col 68}{space 3} 3.843853
{txt}{space 8}1968  {c |}{col 15}{res}{space 2} 1.265634{col 27}{space 2} 1.832381{col 38}{space 1}    0.69{col 47}{space 3}0.490{col 55}{space 4}-2.325767{col 68}{space 3} 4.857034
{txt}{space 8}1969  {c |}{col 15}{res}{space 2} .6373432{col 27}{space 2} 1.409758{col 38}{space 1}    0.45{col 47}{space 3}0.651{col 55}{space 4}-2.125732{col 68}{space 3} 3.400419
{txt}{space 8}1970  {c |}{col 15}{res}{space 2}  .905168{col 27}{space 2} 2.279452{col 38}{space 1}    0.40{col 47}{space 3}0.691{col 55}{space 4}-3.562476{col 68}{space 3} 5.372812
{txt}{space 8}1971  {c |}{col 15}{res}{space 2} 2.193787{col 27}{space 2} 1.315354{col 38}{space 1}    1.67{col 47}{space 3}0.095{col 55}{space 4}-.3842598{col 68}{space 3} 4.771833
{txt}{space 8}1972  {c |}{col 15}{res}{space 2} 1.914855{col 27}{space 2} 1.133038{col 38}{space 1}    1.69{col 47}{space 3}0.091{col 55}{space 4}-.3058593{col 68}{space 3} 4.135569
{txt}{space 8}1973  {c |}{col 15}{res}{space 2} 2.156215{col 27}{space 2} .9664325{col 38}{space 1}    2.23{col 47}{space 3}0.026{col 55}{space 4} .2620421{col 68}{space 3} 4.050388
{txt}{space 8}1974  {c |}{col 15}{res}{space 2} 2.136072{col 27}{space 2} .8213152{col 38}{space 1}    2.60{col 47}{space 3}0.009{col 55}{space 4} .5263237{col 68}{space 3}  3.74582
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} 1.590858{col 27}{space 2} .7154725{col 38}{space 1}    2.22{col 47}{space 3}0.026{col 55}{space 4}  .188558{col 68}{space 3} 2.993159
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} .6434445{col 27}{space 2}  .718587{col 38}{space 1}    0.90{col 47}{space 3}0.371{col 55}{space 4}-.7649602{col 68}{space 3} 2.051849
{txt}{space 8}1977  {c |}{col 15}{res}{space 2}-.1067542{col 27}{space 2} .7150636{col 38}{space 1}   -0.15{col 47}{space 3}0.881{col 55}{space 4}-1.508253{col 68}{space 3} 1.294745
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 1.545652{col 27}{space 2} 1.135572{col 38}{space 1}    1.36{col 47}{space 3}0.173{col 55}{space 4}-.6800282{col 68}{space 3} 3.771332
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} 1.374411{col 27}{space 2} 1.245335{col 38}{space 1}    1.10{col 47}{space 3}0.270{col 55}{space 4}  -1.0664{col 68}{space 3} 3.815222
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .8987704{col 27}{space 2} .9595243{col 38}{space 1}    0.94{col 47}{space 3}0.349{col 55}{space 4}-.9818625{col 68}{space 3} 2.779403
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} 1.739108{col 27}{space 2} 1.072997{col 38}{space 1}    1.62{col 47}{space 3}0.105{col 55}{space 4}-.3639269{col 68}{space 3} 3.842143
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} 2.910376{col 27}{space 2} 1.036186{col 38}{space 1}    2.81{col 47}{space 3}0.005{col 55}{space 4} .8794898{col 68}{space 3} 4.941263
{txt}{space 8}1983  {c |}{col 15}{res}{space 2}  2.73782{col 27}{space 2} .8337088{col 38}{space 1}    3.28{col 47}{space 3}0.001{col 55}{space 4} 1.103781{col 68}{space 3}  4.37186
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} 2.735307{col 27}{space 2} .7917166{col 38}{space 1}    3.45{col 47}{space 3}0.001{col 55}{space 4} 1.183571{col 68}{space 3} 4.287043
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} 2.574114{col 27}{space 2} .7886359{col 38}{space 1}    3.26{col 47}{space 3}0.001{col 55}{space 4} 1.028416{col 68}{space 3} 4.119812
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} 2.296537{col 27}{space 2} .8193318{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4}  .690676{col 68}{space 3} 3.902398
{txt}{space 8}1987  {c |}{col 15}{res}{space 2}  2.40626{col 27}{space 2} .8431013{col 38}{space 1}    2.85{col 47}{space 3}0.004{col 55}{space 4} .7538118{col 68}{space 3} 4.058708
{txt}{space 8}1988  {c |}{col 15}{res}{space 2} 1.747938{col 27}{space 2} .9903924{col 38}{space 1}    1.76{col 47}{space 3}0.078{col 55}{space 4} -.193195{col 68}{space 3} 3.689072
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} 1.696464{col 27}{space 2} .9245849{col 38}{space 1}    1.83{col 47}{space 3}0.067{col 55}{space 4} -.115689{col 68}{space 3} 3.508617
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} 1.328238{col 27}{space 2} .7185729{col 38}{space 1}    1.85{col 47}{space 3}0.065{col 55}{space 4}-.0801388{col 68}{space 3} 2.736615
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.552662{col 27}{space 2} 2.179803{col 38}{space 1}   -1.63{col 47}{space 3}0.103{col 55}{space 4}-7.824997{col 68}{space 3} .7196736
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 37 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us_smith l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==1 & year<=1991, cluster(cowcc) //Model4

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-217.37603}  
Iteration 1:{space 3}log pseudolikelihood = {res:-150.12912}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -108.145}  
Iteration 3:{space 3}log pseudolikelihood = {res:-72.551058}  
Iteration 4:{space 3}log pseudolikelihood = {res:-58.680451}  
Iteration 5:{space 3}log pseudolikelihood = {res:-54.969319}  
Iteration 6:{space 3}log pseudolikelihood = {res:-54.350659}  
Iteration 7:{space 3}log pseudolikelihood = {res: -54.33635}  
Iteration 8:{space 3}log pseudolikelihood = {res:-54.336348}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:1,547}
{txt}{col 56}{lalign 13:Wald chi2({res:13})}{col 69} = {res}{ralign 7:3158.31}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-54.336348}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.7500}

{txt}{ralign 79:(Std. err. adjusted for {res:44} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}vis_us_smith {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.645115{col 27}{space 2} 1.371928{col 38}{space 1}   -1.20{col 47}{space 3}0.230{col 55}{space 4}-4.334044{col 68}{space 3} 1.043814
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.092221{col 27}{space 2} .8520323{col 38}{space 1}   -1.28{col 47}{space 3}0.200{col 55}{space 4}-2.762174{col 68}{space 3} .5777317
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .842474{col 27}{space 2} 1.636445{col 38}{space 1}    0.51{col 47}{space 3}0.607{col 55}{space 4}  -2.3649{col 68}{space 3} 4.049848
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-2.748695{col 27}{space 2} .7368175{col 38}{space 1}   -3.73{col 47}{space 3}0.000{col 55}{space 4}-4.192831{col 68}{space 3}-1.304559
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 6.315638{col 27}{space 2} 1.327874{col 38}{space 1}    4.76{col 47}{space 3}0.000{col 55}{space 4} 3.713052{col 68}{space 3} 8.918224
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.111021{col 27}{space 2} .7220889{col 38}{space 1}    2.92{col 47}{space 3}0.003{col 55}{space 4} .6957531{col 68}{space 3}  3.52629
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-5.530559{col 27}{space 2}  1.62583{col 38}{space 1}   -3.40{col 47}{space 3}0.001{col 55}{space 4}-8.717127{col 68}{space 3}-2.343991
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0567475{col 27}{space 2} .0239826{col 38}{space 1}    2.37{col 47}{space 3}0.018{col 55}{space 4} .0097424{col 68}{space 3} .1037526
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3023968{col 27}{space 2} .2582163{col 38}{space 1}   -1.17{col 47}{space 3}0.242{col 55}{space 4}-.8084914{col 68}{space 3} .2036977
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.4948963{col 27}{space 2} .8210853{col 38}{space 1}   -0.60{col 47}{space 3}0.547{col 55}{space 4}-2.104194{col 68}{space 3} 1.114401
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.800915{col 27}{space 2} .3171409{col 38}{space 1}   -5.68{col 47}{space 3}0.000{col 55}{space 4}  -2.4225{col 68}{space 3} -1.17933
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0973073{col 27}{space 2} .0199681{col 38}{space 1}    4.87{col 47}{space 3}0.000{col 55}{space 4} .0581705{col 68}{space 3} .1364441
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0015451{col 27}{space 2} .0003876{col 38}{space 1}   -3.99{col 47}{space 3}0.000{col 55}{space 4}-.0023049{col 68}{space 3}-.0007853
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}   10.956{col 27}{space 2} 7.428579{col 38}{space 1}    1.47{col 47}{space 3}0.140{col 55}{space 4}-3.603748{col 68}{space 3} 25.51575
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 133 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us_smith l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==0 & year<=1991, cluster(cowcc) //Model5

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-663.79427}  
Iteration 1:{space 3}log pseudolikelihood = {res:-643.31667}  
Iteration 2:{space 3}log pseudolikelihood = {res:-347.69133}  
Iteration 3:{space 3}log pseudolikelihood = {res:-272.57004}  
Iteration 4:{space 3}log pseudolikelihood = {res:-244.51435}  
Iteration 5:{space 3}log pseudolikelihood = {res:-238.92911}  
Iteration 6:{space 3}log pseudolikelihood = {res:-238.79148}  
Iteration 7:{space 3}log pseudolikelihood = {res:-238.79105}  
Iteration 8:{space 3}log pseudolikelihood = {res:-238.79105}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,946}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:253.79}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-238.79105}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6403}

{txt}{ralign 79:(Std. err. adjusted for {res:110} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}vis_us_smith {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.490741{col 27}{space 2} .4937555{col 38}{space 1}   -3.02{col 47}{space 3}0.003{col 55}{space 4}-2.458484{col 68}{space 3}-.5229985
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3811126{col 27}{space 2} .2606926{col 38}{space 1}    1.46{col 47}{space 3}0.144{col 55}{space 4}-.1298355{col 68}{space 3} .8920607
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.041706{col 27}{space 2} .5954793{col 38}{space 1}    1.75{col 47}{space 3}0.080{col 55}{space 4}-.1254116{col 68}{space 3} 2.208824
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2171996{col 27}{space 2} .5195063{col 38}{space 1}   -0.42{col 47}{space 3}0.676{col 55}{space 4}-1.235413{col 68}{space 3} .8010141
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.160954{col 27}{space 2} 2.207113{col 38}{space 1}    0.53{col 47}{space 3}0.599{col 55}{space 4}-3.164909{col 68}{space 3} 5.486816
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.720928{col 27}{space 2}  .449126{col 38}{space 1}    3.83{col 47}{space 3}0.000{col 55}{space 4} .8406574{col 68}{space 3} 2.601199
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3055242{col 27}{space 2} .5329277{col 38}{space 1}    0.57{col 47}{space 3}0.566{col 55}{space 4}-.7389948{col 68}{space 3} 1.350043
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0107133{col 27}{space 2} .0109929{col 38}{space 1}    0.97{col 47}{space 3}0.330{col 55}{space 4}-.0108323{col 68}{space 3} .0322589
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.293243{col 27}{space 2} .4563562{col 38}{space 1}    2.83{col 47}{space 3}0.005{col 55}{space 4} .3988015{col 68}{space 3} 2.187685
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .6239824{col 27}{space 2} .5718811{col 38}{space 1}    1.09{col 47}{space 3}0.275{col 55}{space 4}-.4968839{col 68}{space 3} 1.744849
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.340125{col 27}{space 2} .2159539{col 38}{space 1}   -6.21{col 47}{space 3}0.000{col 55}{space 4}-1.763387{col 68}{space 3} -.916863
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0704896{col 27}{space 2} .0146718{col 38}{space 1}    4.80{col 47}{space 3}0.000{col 55}{space 4} .0417334{col 68}{space 3} .0992458
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010961{col 27}{space 2}  .000278{col 38}{space 1}   -3.94{col 47}{space 3}0.000{col 55}{space 4}-.0016409{col 68}{space 3}-.0005513
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.172773{col 27}{space 2} 1.580611{col 38}{space 1}   -2.01{col 47}{space 3}0.045{col 55}{space 4}-6.270715{col 68}{space 3} -.074832
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Appendix 6: The effect of superpower leader visit on nuclear pursuit (using propensity score matching) **
. 
. * (a) Regression table with propensity score matching *
. 
. psmatch2 vis_us us_ally conflict gdpcap_ln industry nuke_latency majorpower demo npt_rati, outcome(nukepursue_JG) neighbor(1)
{res}
{txt}{col 1}Probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,545}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:225.10}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-676.62574}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1426}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      vis_us{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}us_ally {c |}{col 14}{res}{space 2} .4326591{col 26}{space 2} .0786693{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .2784701{col 67}{space 3} .5868481
{txt}{space 4}conflict {c |}{col 14}{res}{space 2} .0725419{col 26}{space 2} .0821854{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0885386{col 67}{space 3} .2336224
{txt}{space 3}gdpcap_ln {c |}{col 14}{res}{space 2} .1796823{col 26}{space 2} .0575316{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0669224{col 67}{space 3} .2924422
{txt}{space 4}industry {c |}{col 14}{res}{space 2} .5405613{col 26}{space 2} .0952258{col 37}{space 1}    5.68{col 46}{space 3}0.000{col 54}{space 4} .3539222{col 67}{space 3} .7272005
{txt}nuke_latency {c |}{col 14}{res}{space 2} .3108424{col 26}{space 2} .1259021{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0640789{col 67}{space 3}  .557606
{txt}{space 2}majorpower {c |}{col 14}{res}{space 2} .1282834{col 26}{space 2} .3893991{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.6349249{col 67}{space 3} .8914916
{txt}{space 8}demo {c |}{col 14}{res}{space 2} .0115145{col 26}{space 2} .0929992{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1707606{col 67}{space 3} .1937897
{txt}{space 4}npt_rati {c |}{col 14}{res}{space 2}-.0101545{col 26}{space 2} .0779197{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1628744{col 67}{space 3} .1425654
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.697559{col 26}{space 2}  .451897{col 37}{space 1}   -8.18{col 46}{space 3}0.000{col 54}{space 4}-4.583261{col 67}{space 3}-2.811857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 28}{c TT}{hline 59}
        Variable     Sample {c |}    Treated     Controls   Difference         S.E.   T-stat
{hline 28}{c +}{hline 59}
   nukepursue_JG  Unmatched {c |}{res} .047368421   .047301952   .000066469   .015736963     0.00
{txt}{col 17}        ATT {c |}{res} .047368421   .042105263   .005263158   .022994758     0.23
{txt}{hline 28}{c +}{hline 59}
Note: S.E. does not take into account that the propensity score is estimated.

           {c |} psmatch2:
 psmatch2: {c |}   Common
 Treatment {c |}  support
assignment {c |} On suppor {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
 Untreated {c |}{res}     4,355 {txt}{c |}{res}     4,355 
{txt}   Treated {c |}{res}       190 {txt}{c |}{res}       190 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}     4,545 {txt}{c |}{res}     4,545 
{txt}
{com}. logit nukepursue_JG l.vis_us l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 [iweight=_pscore] if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-50.041873}  
Iteration 1:{space 3}log pseudolikelihood = {res:-34.550265}  
Iteration 2:{space 3}log pseudolikelihood = {res:-34.146997}  
Iteration 3:{space 3}log pseudolikelihood = {res:-23.680582}  
Iteration 4:{space 3}log pseudolikelihood = {res:-23.680528}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-23.680514}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res: -16.13922}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-15.696799}  
Iteration 8:{space 3}log pseudolikelihood = {res:-14.638095}  
Iteration 9:{space 3}log pseudolikelihood = {res:-14.503653}  
Iteration 10:{space 2}log pseudolikelihood = {res:-14.502312}  
Iteration 11:{space 2}log pseudolikelihood = {res:-14.502312}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,254}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:474.51}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-14.502312}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.7102}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.553438{col 27}{space 2} .8920875{col 38}{space 1}   -1.74{col 47}{space 3}0.082{col 55}{space 4}-3.301898{col 68}{space 3} .1950213
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6879423{col 27}{space 2} .4115711{col 38}{space 1}   -1.67{col 47}{space 3}0.095{col 55}{space 4}-1.494607{col 68}{space 3} .1187223
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.1362237{col 27}{space 2} .2813135{col 38}{space 1}   -0.48{col 47}{space 3}0.628{col 55}{space 4}-.6875881{col 68}{space 3} .4151406
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.425093{col 27}{space 2} .5807626{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .2868192{col 68}{space 3} 2.563367
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.201612{col 27}{space 2} .4958083{col 38}{space 1}   -2.42{col 47}{space 3}0.015{col 55}{space 4}-2.173378{col 68}{space 3}-.2298456
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 4.894935{col 27}{space 2} .7293649{col 38}{space 1}    6.71{col 47}{space 3}0.000{col 55}{space 4} 3.465406{col 68}{space 3} 6.324464
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .8261642{col 27}{space 2}  .389659{col 38}{space 1}    2.12{col 47}{space 3}0.034{col 55}{space 4} .0624465{col 68}{space 3} 1.589882
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.966987{col 27}{space 2} .5798627{col 38}{space 1}   -3.39{col 47}{space 3}0.001{col 55}{space 4}-3.103497{col 68}{space 3}-.8304771
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0253286{col 27}{space 2} .0098549{col 38}{space 1}    2.57{col 47}{space 3}0.010{col 55}{space 4} .0060133{col 68}{space 3} .0446438
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}   .19764{col 27}{space 2} .3052297{col 38}{space 1}    0.65{col 47}{space 3}0.517{col 55}{space 4}-.4005991{col 68}{space 3} .7958792
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7668517{col 27}{space 2} .4285249{col 38}{space 1}    1.79{col 47}{space 3}0.074{col 55}{space 4}-.0730417{col 68}{space 3} 1.606745
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.356153{col 27}{space 2} .2466828{col 38}{space 1}   -5.50{col 47}{space 3}0.000{col 55}{space 4}-1.839643{col 68}{space 3}-.8726641
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0704791{col 27}{space 2} .0136378{col 38}{space 1}    5.17{col 47}{space 3}0.000{col 55}{space 4} .0437496{col 68}{space 3} .0972086
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010528{col 27}{space 2} .0002015{col 38}{space 1}   -5.22{col 47}{space 3}0.000{col 55}{space 4}-.0014478{col 68}{space 3}-.0006578
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  2.46465{col 27}{space 2} 1.916587{col 38}{space 1}    1.29{col 47}{space 3}0.198{col 55}{space 4}-1.291791{col 68}{space 3} 6.221091
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. psmatch2 vis_rus soviet_ally conflict gdpcap_ln industry nuke_latency majorpower demo npt_rati, outcome(nukepursue_JG) neighbor(1)
{res}
{txt}{col 1}Probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,545}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:316.64}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-410.56138}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2783}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     vis_rus{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}soviet_ally {c |}{col 14}{res}{space 2} 1.455953{col 26}{space 2} .1082102{col 37}{space 1}   13.45{col 46}{space 3}0.000{col 54}{space 4} 1.243865{col 67}{space 3} 1.668041
{txt}{space 4}conflict {c |}{col 14}{res}{space 2}-.1187482{col 26}{space 2} .1215203{col 37}{space 1}   -0.98{col 46}{space 3}0.328{col 54}{space 4}-.3569235{col 67}{space 3} .1194272
{txt}{space 3}gdpcap_ln {c |}{col 14}{res}{space 2} .1351338{col 26}{space 2} .0693151{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0007214{col 67}{space 3} .2709889
{txt}{space 4}industry {c |}{col 14}{res}{space 2} .4239066{col 26}{space 2} .1228324{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .1831594{col 67}{space 3} .6646538
{txt}nuke_latency {c |}{col 14}{res}{space 2}   .35155{col 26}{space 2} .1795039{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4}-.0002711{col 67}{space 3} .7033712
{txt}{space 2}majorpower {c |}{col 14}{res}{space 2}-.4744788{col 26}{space 2} .4929955{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-1.440732{col 67}{space 3} .4917746
{txt}{space 8}demo {c |}{col 14}{res}{space 2}-.1469726{col 26}{space 2} .1316074{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4}-.4049183{col 67}{space 3} .1109731
{txt}{space 4}npt_rati {c |}{col 14}{res}{space 2}-.4032514{col 26}{space 2} .1077744{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.6144853{col 67}{space 3}-.1920175
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.373142{col 26}{space 2} .5447485{col 37}{space 1}   -6.19{col 46}{space 3}0.000{col 54}{space 4}-4.440829{col 67}{space 3}-2.305454
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 28}{c TT}{hline 59}
        Variable     Sample {c |}    Treated     Controls   Difference         S.E.   T-stat
{hline 28}{c +}{hline 59}
   nukepursue_JG  Unmatched {c |}{res} .064516129   .046821986   .017694143   .019332173     0.92
{txt}{col 17}        ATT {c |}{res} .064516129   .040322581   .024193548    .04114651     0.59
{txt}{hline 28}{c +}{hline 59}
Note: S.E. does not take into account that the propensity score is estimated.

           {c |} psmatch2:
 psmatch2: {c |}   Common
 Treatment {c |}  support
assignment {c |} On suppor {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
 Untreated {c |}{res}     4,421 {txt}{c |}{res}     4,421 
{txt}   Treated {c |}{res}       124 {txt}{c |}{res}       124 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}     4,545 {txt}{c |}{res}     4,545 
{txt}
{com}. logit nukepursue_JG l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 [iweight=_pscore] if year<=1991, cluster(cowcc) //Model2

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-32.664097}  
Iteration 1:{space 3}log pseudolikelihood = {res:-21.560409}  
Iteration 2:{space 3}log pseudolikelihood = {res:-18.777574}  
Iteration 3:{space 3}log pseudolikelihood = {res:-17.183127}  
Iteration 4:{space 3}log pseudolikelihood = {res: -17.18309}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-17.183071}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-17.183062}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-10.522565}  (backed up)
Iteration 8:{space 3}log pseudolikelihood = {res:-9.7681169}  
Iteration 9:{space 3}log pseudolikelihood = {res:-9.6137664}  
Iteration 10:{space 2}log pseudolikelihood = {res:-9.6091608}  
Iteration 11:{space 2}log pseudolikelihood = {res:-9.6091449}  
Iteration 12:{space 2}log pseudolikelihood = {res:-9.6091449}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,254}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:447.14}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-9.6091449}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.7058}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.577915{col 27}{space 2} .4352041{col 38}{space 1}   -1.33{col 47}{space 3}0.184{col 55}{space 4}-1.430899{col 68}{space 3} .2750693
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3686775{col 27}{space 2}  .443067{col 38}{space 1}   -0.83{col 47}{space 3}0.405{col 55}{space 4}-1.237073{col 68}{space 3}  .499718
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.9240679{col 27}{space 2} .5610059{col 38}{space 1}   -1.65{col 47}{space 3}0.100{col 55}{space 4}-2.023619{col 68}{space 3} .1754835
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.313979{col 27}{space 2}  .756177{col 38}{space 1}    3.06{col 47}{space 3}0.002{col 55}{space 4}  .831899{col 68}{space 3} 3.796059
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0282963{col 27}{space 2} .8006004{col 38}{space 1}    0.04{col 47}{space 3}0.972{col 55}{space 4}-1.540852{col 68}{space 3} 1.597444
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 4.298462{col 27}{space 2} 1.077116{col 38}{space 1}    3.99{col 47}{space 3}0.000{col 55}{space 4} 2.187355{col 68}{space 3}  6.40957
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.862617{col 27}{space 2} .5389216{col 38}{space 1}    3.46{col 47}{space 3}0.001{col 55}{space 4} .8063503{col 68}{space 3} 2.918884
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6123239{col 27}{space 2} .5925334{col 38}{space 1}   -1.03{col 47}{space 3}0.301{col 55}{space 4}-1.773668{col 68}{space 3} .5490203
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0267281{col 27}{space 2} .0121526{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .0029096{col 68}{space 3} .0505467
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1829381{col 27}{space 2} .3560043{col 38}{space 1}    0.51{col 47}{space 3}0.607{col 55}{space 4}-.5148174{col 68}{space 3} .8806937
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5346945{col 27}{space 2} .5037249{col 38}{space 1}    1.06{col 47}{space 3}0.288{col 55}{space 4}-.4525881{col 68}{space 3} 1.521977
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -1.44092{col 27}{space 2} .3731942{col 38}{space 1}   -3.86{col 47}{space 3}0.000{col 55}{space 4}-2.172367{col 68}{space 3}-.7094724
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0717464{col 27}{space 2} .0196552{col 38}{space 1}    3.65{col 47}{space 3}0.000{col 55}{space 4} .0332228{col 68}{space 3} .1102699
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010006{col 27}{space 2} .0002648{col 38}{space 1}   -3.78{col 47}{space 3}0.000{col 55}{space 4}-.0015196{col 68}{space 3}-.0004817
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 7.039177{col 27}{space 2} 4.496986{col 38}{space 1}    1.57{col 47}{space 3}0.118{col 55}{space 4}-1.774754{col 68}{space 3} 15.85311
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. psmatch2 vis_us us_ally conflict gdpcap_ln industry nuke_latency majorpower demo npt_rati, outcome(nukepursue_JG) neighbor(1)
{res}
{txt}{col 1}Probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,545}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:225.10}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-676.62574}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1426}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      vis_us{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}us_ally {c |}{col 14}{res}{space 2} .4326591{col 26}{space 2} .0786693{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .2784701{col 67}{space 3} .5868481
{txt}{space 4}conflict {c |}{col 14}{res}{space 2} .0725419{col 26}{space 2} .0821854{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0885386{col 67}{space 3} .2336224
{txt}{space 3}gdpcap_ln {c |}{col 14}{res}{space 2} .1796823{col 26}{space 2} .0575316{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0669224{col 67}{space 3} .2924422
{txt}{space 4}industry {c |}{col 14}{res}{space 2} .5405613{col 26}{space 2} .0952258{col 37}{space 1}    5.68{col 46}{space 3}0.000{col 54}{space 4} .3539222{col 67}{space 3} .7272005
{txt}nuke_latency {c |}{col 14}{res}{space 2} .3108424{col 26}{space 2} .1259021{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0640789{col 67}{space 3}  .557606
{txt}{space 2}majorpower {c |}{col 14}{res}{space 2} .1282834{col 26}{space 2} .3893991{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.6349249{col 67}{space 3} .8914916
{txt}{space 8}demo {c |}{col 14}{res}{space 2} .0115145{col 26}{space 2} .0929992{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1707606{col 67}{space 3} .1937897
{txt}{space 4}npt_rati {c |}{col 14}{res}{space 2}-.0101545{col 26}{space 2} .0779197{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1628744{col 67}{space 3} .1425654
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.697559{col 26}{space 2}  .451897{col 37}{space 1}   -8.18{col 46}{space 3}0.000{col 54}{space 4}-4.583261{col 67}{space 3}-2.811857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 28}{c TT}{hline 59}
        Variable     Sample {c |}    Treated     Controls   Difference         S.E.   T-stat
{hline 28}{c +}{hline 59}
   nukepursue_JG  Unmatched {c |}{res} .047368421   .047301952   .000066469   .015736963     0.00
{txt}{col 17}        ATT {c |}{res} .047368421   .042105263   .005263158   .022994758     0.23
{txt}{hline 28}{c +}{hline 59}
Note: S.E. does not take into account that the propensity score is estimated.

           {c |} psmatch2:
 psmatch2: {c |}   Common
 Treatment {c |}  support
assignment {c |} On suppor {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
 Untreated {c |}{res}     4,355 {txt}{c |}{res}     4,355 
{txt}   Treated {c |}{res}       190 {txt}{c |}{res}       190 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}     4,545 {txt}{c |}{res}     4,545 
{txt}
{com}. logit nukepursue_JG l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 [iweight=_pscore] if l.us_ally==1 & year<=1991 , cluster(cowcc) //Model3

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-27.285649}  
Iteration 1:{space 3}log pseudolikelihood = {res:-19.954724}  
Iteration 2:{space 3}log pseudolikelihood = {res:-16.301256}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-15.628531}  
Iteration 4:{space 3}log pseudolikelihood = {res:-8.5211805}  
Iteration 5:{space 3}log pseudolikelihood = {res:-5.4910558}  
Iteration 6:{space 3}log pseudolikelihood = {res:-5.2140533}  
Iteration 7:{space 3}log pseudolikelihood = {res:-5.1658875}  
Iteration 8:{space 3}log pseudolikelihood = {res:-5.1651304}  
Iteration 9:{space 3}log pseudolikelihood = {res:-5.1651303}  
{res}
{txt}{col 1}Logistic regression{col 55}{lalign 13:Number of obs}{col 68} = {res}{ralign 8:1,491}
{txt}{col 55}{lalign 13:Wald chi2({res:13})}{col 68} = {res}{ralign 8:58928.92}
{txt}{col 55}{lalign 13:Prob > chi2}{col 68} = {res}{ralign 8:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-5.1651303}{txt}{col 55}{lalign 13:Pseudo R2}{col 68} = {res}{ralign 8:0.8107}

{txt}{ralign 79:(Std. err. adjusted for {res:42} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -2.12957{col 27}{space 2} 1.606085{col 38}{space 1}   -1.33{col 47}{space 3}0.185{col 55}{space 4} -5.27744{col 68}{space 3} 1.018299
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  -.55567{col 27}{space 2}  .656929{col 38}{space 1}   -0.85{col 47}{space 3}0.398{col 55}{space 4}-1.843227{col 68}{space 3} .7318871
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .8445409{col 27}{space 2} 1.100306{col 38}{space 1}    0.77{col 47}{space 3}0.443{col 55}{space 4}-1.312018{col 68}{space 3}   3.0011
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-3.693786{col 27}{space 2} 1.103752{col 38}{space 1}   -3.35{col 47}{space 3}0.001{col 55}{space 4}  -5.8571{col 68}{space 3}-1.530472
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 7.785874{col 27}{space 2} 1.244039{col 38}{space 1}    6.26{col 47}{space 3}0.000{col 55}{space 4} 5.347603{col 68}{space 3} 10.22414
{txt}{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .7008276{col 27}{space 2} .7541821{col 38}{space 1}    0.93{col 47}{space 3}0.353{col 55}{space 4}-.7773421{col 68}{space 3} 2.178997
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-6.093002{col 27}{space 2} 1.835582{col 38}{space 1}   -3.32{col 47}{space 3}0.001{col 55}{space 4}-9.690676{col 68}{space 3}-2.495328
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0626479{col 27}{space 2} .0182391{col 38}{space 1}    3.43{col 47}{space 3}0.001{col 55}{space 4}    .0269{col 68}{space 3} .0983959
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.5453259{col 27}{space 2} .2688467{col 38}{space 1}   -2.03{col 47}{space 3}0.043{col 55}{space 4}-1.072256{col 68}{space 3}-.0183961
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0462304{col 27}{space 2} .3788081{col 38}{space 1}    0.12{col 47}{space 3}0.903{col 55}{space 4}-.6962198{col 68}{space 3} .7886806
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.461779{col 27}{space 2}  .407007{col 38}{space 1}   -3.59{col 47}{space 3}0.000{col 55}{space 4}-2.259498{col 68}{space 3}-.6640603
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0698974{col 27}{space 2} .0211327{col 38}{space 1}    3.31{col 47}{space 3}0.001{col 55}{space 4} .0284781{col 68}{space 3} .1113168
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0009864{col 27}{space 2} .0003195{col 38}{space 1}   -3.09{col 47}{space 3}0.002{col 55}{space 4}-.0016126{col 68}{space 3}-.0003603
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 6.665112{col 27}{space 2} 6.289764{col 38}{space 1}    1.06{col 47}{space 3}0.289{col 55}{space 4}-5.662599{col 68}{space 3} 18.99282
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 8 failures and 0 successes completely determined.{p_end}

{com}. 
. logit nukepursue_JG l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 [iweight=_pscore] if l.us_ally==0 & year<=1991, cluster(cowcc) //Model4

{txt}note: {bf:L.majorpower} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-21.761468}  
Iteration 1:{space 3}log pseudolikelihood = {res:-12.139411}  
Iteration 2:{space 3}log pseudolikelihood = {res:-9.6534035}  
Iteration 3:{space 3}log pseudolikelihood = {res:-7.8674511}  
Iteration 4:{space 3}log pseudolikelihood = {res:-7.7594663}  
Iteration 5:{space 3}log pseudolikelihood = {res:-7.7571161}  
Iteration 6:{space 3}log pseudolikelihood = {res:-7.7571061}  
Iteration 7:{space 3}log pseudolikelihood = {res:-7.7571061}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,763}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:348.90}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-7.7571061}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6435}

{txt}{ralign 79:(Std. err. adjusted for {res:102} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.773337{col 27}{space 2} .5041209{col 38}{space 1}   -3.52{col 47}{space 3}0.000{col 55}{space 4}-2.761396{col 68}{space 3}-.7852785
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0242078{col 27}{space 2} .2483215{col 38}{space 1}   -0.10{col 47}{space 3}0.922{col 55}{space 4} -.510909{col 68}{space 3} .4624933
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.263135{col 27}{space 2} .5977681{col 38}{space 1}    2.11{col 47}{space 3}0.035{col 55}{space 4}  .091531{col 68}{space 3} 2.434739
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3265808{col 27}{space 2} .5407716{col 38}{space 1}   -0.60{col 47}{space 3}0.546{col 55}{space 4}-1.386474{col 68}{space 3} .7333121
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}conflict {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.277489{col 27}{space 2} .6059385{col 38}{space 1}    2.11{col 47}{space 3}0.035{col 55}{space 4} .0898717{col 68}{space 3} 2.465107
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7920812{col 27}{space 2} .6838483{col 38}{space 1}   -1.16{col 47}{space 3}0.247{col 55}{space 4}-2.132399{col 68}{space 3} .5482369
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0173799{col 27}{space 2} .0132989{col 38}{space 1}    1.31{col 47}{space 3}0.191{col 55}{space 4}-.0086854{col 68}{space 3} .0434452
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4770354{col 27}{space 2} .3990968{col 38}{space 1}    1.20{col 47}{space 3}0.232{col 55}{space 4}  -.30518{col 68}{space 3} 1.259251
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .2251323{col 27}{space 2}  .604155{col 38}{space 1}    0.37{col 47}{space 3}0.709{col 55}{space 4}-.9589897{col 68}{space 3} 1.409254
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.219811{col 27}{space 2}  .275691{col 38}{space 1}   -4.42{col 47}{space 3}0.000{col 55}{space 4}-1.760156{col 68}{space 3}-.6794671
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0624727{col 27}{space 2}  .016022{col 38}{space 1}    3.90{col 47}{space 3}0.000{col 55}{space 4} .0310701{col 68}{space 3} .0938752
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0009439{col 27}{space 2} .0002543{col 38}{space 1}   -3.71{col 47}{space 3}0.000{col 55}{space 4}-.0014424{col 68}{space 3}-.0004454
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  .747163{col 27}{space 2} 1.643006{col 38}{space 1}    0.45{col 47}{space 3}0.649{col 55}{space 4}-2.473069{col 68}{space 3} 3.967395
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * (b) Results of balance test *
. psmatch2 vis_us us_ally conflict gdpcap_ln industry nuke_latency majorpower demo npt_rati, outcome(nukepursue_JG) neighbor(1)
{res}
{txt}{col 1}Probit regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,545}
{txt}{col 57}{lalign 13:LR chi2({res:8})}{col 70} = {res}{ralign 6:225.10}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-676.62574}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1426}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      vis_us{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}us_ally {c |}{col 14}{res}{space 2} .4326591{col 26}{space 2} .0786693{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .2784701{col 67}{space 3} .5868481
{txt}{space 4}conflict {c |}{col 14}{res}{space 2} .0725419{col 26}{space 2} .0821854{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0885386{col 67}{space 3} .2336224
{txt}{space 3}gdpcap_ln {c |}{col 14}{res}{space 2} .1796823{col 26}{space 2} .0575316{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0669224{col 67}{space 3} .2924422
{txt}{space 4}industry {c |}{col 14}{res}{space 2} .5405613{col 26}{space 2} .0952258{col 37}{space 1}    5.68{col 46}{space 3}0.000{col 54}{space 4} .3539222{col 67}{space 3} .7272005
{txt}nuke_latency {c |}{col 14}{res}{space 2} .3108424{col 26}{space 2} .1259021{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0640789{col 67}{space 3}  .557606
{txt}{space 2}majorpower {c |}{col 14}{res}{space 2} .1282834{col 26}{space 2} .3893991{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.6349249{col 67}{space 3} .8914916
{txt}{space 8}demo {c |}{col 14}{res}{space 2} .0115145{col 26}{space 2} .0929992{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1707606{col 67}{space 3} .1937897
{txt}{space 4}npt_rati {c |}{col 14}{res}{space 2}-.0101545{col 26}{space 2} .0779197{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1628744{col 67}{space 3} .1425654
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.697559{col 26}{space 2}  .451897{col 37}{space 1}   -8.18{col 46}{space 3}0.000{col 54}{space 4}-4.583261{col 67}{space 3}-2.811857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}{hline 28}{c TT}{hline 59}
        Variable     Sample {c |}    Treated     Controls   Difference         S.E.   T-stat
{hline 28}{c +}{hline 59}
   nukepursue_JG  Unmatched {c |}{res} .047368421   .047301952   .000066469   .015736963     0.00
{txt}{col 17}        ATT {c |}{res} .047368421   .042105263   .005263158   .022994758     0.23
{txt}{hline 28}{c +}{hline 59}
Note: S.E. does not take into account that the propensity score is estimated.

           {c |} psmatch2:
 psmatch2: {c |}   Common
 Treatment {c |}  support
assignment {c |} On suppor {c |}     Total
{hline 11}{c +}{hline 11}{c +}{hline 10}
 Untreated {c |}{res}     4,355 {txt}{c |}{res}     4,355 
{txt}   Treated {c |}{res}       190 {txt}{c |}{res}       190 
{txt}{hline 11}{c +}{hline 11}{c +}{hline 10}
     Total {c |}{res}     4,545 {txt}{c |}{res}     4,545 
{txt}
{com}. pstest us_ally conflict gdpcap_ln industry nuke_latency majorpower demo npt_rati, outcome(nukepursue_JG) 

{txt}{hline 24}{c TT}{hline 26}{c TT}{hline 15}{c TT}{hline 10}
        {col 24} {c |}       Mean               {c |}     t-test    {c |}  V(T)/
Variable{col 24} {c |} Treated Control    %bias {c |}    t    p>|t| {c |}  V(C)
{hline 24}{c +}{hline 26}{c +}{hline 15}{c +}{hline 10}
us_ally               {col 24} {c |}{res} .66316       .7     -7.8{txt} {c |}{res}  -0.77  0.442{txt} {c |}{res}     .
{txt}conflict              {col 24} {c |}{res} .27895   .31579     -8.1{txt} {c |}{res}  -0.78  0.433{txt} {c |}{res}     .
{txt}gdpcap_ln             {col 24} {c |}{res} 8.8301   8.8263      0.4{txt} {c |}{res}   0.04  0.965{txt} {c |}{res}  1.05
{txt}industry              {col 24} {c |}{res} .63684   .61579      4.7{txt} {c |}{res}   0.42  0.672{txt} {c |}{res}     .
{txt}nuke_latency          {col 24} {c |}{res} .18947   .16842      6.8{txt} {c |}{res}   0.53  0.594{txt} {c |}{res}     .
{txt}majorpower            {col 24} {c |}{res} .01579   .01579      0.0{txt} {c |}{res}   0.00  1.000{txt} {c |}{res}     .
{txt}demo                  {col 24} {c |}{res} .57368   .54737      5.6{txt} {c |}{res}   0.52  0.606{txt} {c |}{res}     .
{txt}npt_rati              {col 24} {c |}{res} .52632   .48947      7.4{txt} {c |}{res}   0.72  0.474{txt} {c |}{res}     .
{txt}{hline 24}{c BT}{hline 26}{c BT}{hline 15}{c BT}{hline 10}
* if variance ratio outside [0.75; 1.33]

{hline 70}
Ps R2   LR chi2   p>chi2   MeanBias   MedBias      B       R     %Var 
{hline 70}
{res}0.005      2.69    0.952      5.1       6.2      16.8    0.98{col 67}  0
{txt}{hline 70}
* if B>25%, R outside [0.5; 2]

{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Appendix 7: Determinants of leader visit using the interaction term of US Ally and Nuclear pursuit ongoing variable **
. logit vis_us l.us_ally##l.nukepursue_ongoing l.majorpower l.conflict l.gdpcap_ln l.industry l.nuke_latency l.nca l.senstech l.demo l.npt_eff l.npt_rati if year<=1991, cluster(cowcc) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-752.94975}  
Iteration 1:{space 3}log pseudolikelihood = {res:-661.04951}  
Iteration 2:{space 3}log pseudolikelihood = {res: -639.3613}  
Iteration 3:{space 3}log pseudolikelihood = {res:-638.78214}  
Iteration 4:{space 3}log pseudolikelihood = {res:-638.78055}  
Iteration 5:{space 3}log pseudolikelihood = {res:-638.78055}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,284}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:205.71}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-638.78055}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1516}

{txt}{ralign 96:(Std. err. adjusted for {res:132} clusters in {res:cowcc})}
{hline 31}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 32}{c |}{col 44}    Robust
{col 1}                        vis_us{col 32}{c |} Coefficient{col 44}  std. err.{col 56}      z{col 64}   P>|z|{col 72}     [95% con{col 85}f. interval]
{hline 31}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 21}L.us_ally {c |}
{space 28}1  {c |}{col 32}{res}{space 2}  .917814{col 44}{space 2}  .281119{col 55}{space 1}    3.26{col 64}{space 3}0.001{col 72}{space 4} .3668309{col 85}{space 3} 1.468797
{txt}{space 30} {c |}
{space 10}L.nukepursue_ongoing {c |}
{space 28}1  {c |}{col 32}{res}{space 2} -1.28724{col 44}{space 2} .6447901{col 55}{space 1}   -2.00{col 64}{space 3}0.046{col 72}{space 4}-2.551005{col 85}{space 3}-.0234743
{txt}{space 30} {c |}
L.us_ally#L.nukepursue_ongoing {c |}
{space 26}1 1  {c |}{col 32}{res}{space 2}  1.12414{col 44}{space 2} .7675972{col 55}{space 1}    1.46{col 64}{space 3}0.143{col 72}{space 4}-.3803224{col 85}{space 3} 2.628603
{txt}{space 30} {c |}
{space 20}majorpower {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}  .252722{col 44}{space 2} .3984517{col 55}{space 1}    0.63{col 64}{space 3}0.526{col 72}{space 4}-.5282289{col 85}{space 3} 1.033673
{txt}{space 30} {c |}
{space 22}conflict {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .0404103{col 44}{space 2} .2560752{col 55}{space 1}    0.16{col 64}{space 3}0.875{col 72}{space 4}-.4614878{col 85}{space 3} .5423084
{txt}{space 30} {c |}
{space 21}gdpcap_ln {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .3612067{col 44}{space 2} .1598484{col 55}{space 1}    2.26{col 64}{space 3}0.024{col 72}{space 4} .0479096{col 85}{space 3} .6745038
{txt}{space 30} {c |}
{space 22}industry {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} 1.279273{col 44}{space 2} .2670106{col 55}{space 1}    4.79{col 64}{space 3}0.000{col 72}{space 4} .7559415{col 85}{space 3} 1.802604
{txt}{space 30} {c |}
{space 18}nuke_latency {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .6489814{col 44}{space 2} .3064795{col 55}{space 1}    2.12{col 64}{space 3}0.034{col 72}{space 4} .0482927{col 85}{space 3}  1.24967
{txt}{space 30} {c |}
{space 27}nca {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}  .138017{col 44}{space 2} .2135039{col 55}{space 1}    0.65{col 64}{space 3}0.518{col 72}{space 4} -.280443{col 85}{space 3} .5564769
{txt}{space 30} {c |}
{space 22}senstech {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .4228856{col 44}{space 2} .5076955{col 55}{space 1}    0.83{col 64}{space 3}0.405{col 72}{space 4}-.5721792{col 85}{space 3}  1.41795
{txt}{space 30} {c |}
{space 26}demo {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}-.1626151{col 44}{space 2} .3797321{col 55}{space 1}   -0.43{col 64}{space 3}0.668{col 72}{space 4}-.9068763{col 85}{space 3} .5816461
{txt}{space 30} {c |}
{space 23}npt_eff {c |}
{space 27}L1. {c |}{col 32}{res}{space 2}  -.00548{col 44}{space 2} .0044945{col 55}{space 1}   -1.22{col 64}{space 3}0.223{col 72}{space 4}-.0142892{col 85}{space 3} .0033291
{txt}{space 30} {c |}
{space 22}npt_rati {c |}
{space 27}L1. {c |}{col 32}{res}{space 2} .1345699{col 44}{space 2}  .278278{col 55}{space 1}    0.48{col 64}{space 3}0.629{col 72}{space 4}-.4108449{col 85}{space 3} .6799847
{txt}{space 30} {c |}
{space 25}_cons {c |}{col 32}{res}{space 2}-6.998442{col 44}{space 2}  1.25926{col 55}{space 1}   -5.56{col 64}{space 3}0.000{col 72}{space 4}-9.466546{col 85}{space 3}-4.530338
{txt}{hline 31}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Appendix 8: The effect of superpower leader visit on nuclear pursuit onset **
. reg nukepursue_onset l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati l.npt_eff l.nca l.senstech l.OS1 l.OS2 l.OS3 if year<=1991, cluster(cowcc)

{txt}Linear regression                               Number of obs     = {res}     4,263
                                                {txt}F(15, 130)        =  {res}     6.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0158
                                                {txt}Root MSE          =    {res} .06264

{txt}{ralign 78:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}nukepursue~t{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}vis_us {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0066915{col 26}{space 2} .0021264{col 37}{space 1}   -3.15{col 46}{space 3}0.002{col 54}{space 4}-.0108985{col 67}{space 3}-.0024846
{txt}{space 12} {c |}
{space 5}vis_rus {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0065775{col 26}{space 2} .0024779{col 37}{space 1}   -2.65{col 46}{space 3}0.009{col 54}{space 4}-.0114798{col 67}{space 3}-.0016752
{txt}{space 12} {c |}
{space 4}nukeally {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0012167{col 26}{space 2} .0022879{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0033096{col 67}{space 3} .0057431
{txt}{space 12} {c |}
{space 3}gdpcap_ln {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0003989{col 26}{space 2} .0017027{col 37}{space 1}   -0.23{col 46}{space 3}0.815{col 54}{space 4}-.0037674{col 67}{space 3} .0029696
{txt}{space 12} {c |}
{space 4}industry {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0131715{col 26}{space 2} .0047853{col 37}{space 1}    2.75{col 46}{space 3}0.007{col 54}{space 4} .0037045{col 67}{space 3} .0226386
{txt}{space 12} {c |}
{space 8}demo {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0045807{col 26}{space 2} .0024617{col 37}{space 1}   -1.86{col 46}{space 3}0.065{col 54}{space 4}-.0094509{col 67}{space 3} .0002895
{txt}{space 12} {c |}
{space 2}majorpower {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0867339{col 26}{space 2} .0154433{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} .0561811{col 67}{space 3} .1172867
{txt}{space 12} {c |}
{space 4}conflict {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0086181{col 26}{space 2} .0028574{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4}  .002965{col 67}{space 3} .0142712
{txt}{space 12} {c |}
{space 4}npt_rati {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0026868{col 26}{space 2} .0033011{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-.0092175{col 67}{space 3}  .003844
{txt}{space 12} {c |}
{space 5}npt_eff {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0000226{col 26}{space 2} .0000382{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.0000529{col 67}{space 3} .0000982
{txt}{space 12} {c |}
{space 9}nca {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0023815{col 26}{space 2} .0042249{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-.0107399{col 67}{space 3} .0059769
{txt}{space 12} {c |}
{space 4}senstech {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0114176{col 26}{space 2} .0036567{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4} -.018652{col 67}{space 3}-.0041833
{txt}{space 12} {c |}
{space 9}OS1 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0000747{col 26}{space 2} .0005789{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}  -.00122{col 67}{space 3} .0010707
{txt}{space 12} {c |}
{space 9}OS2 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0000201{col 26}{space 2} .0000312{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-.0000417{col 67}{space 3} .0000819
{txt}{space 12} {c |}
{space 9}OS3 {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-4.71e-07{col 26}{space 2} 4.51e-07{col 37}{space 1}   -1.05{col 46}{space 3}0.298{col 54}{space 4}-1.36e-06{col 67}{space 3} 4.20e-07
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0021882{col 26}{space 2} .0119023{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4} -.021359{col 67}{space 3} .0257355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "C:\Users\dudtk\AppData\Local\Temp\STD244c_000000.tmp"
{txt}
{com}. 
. ** Appendix 9: The effect of superpower leader visit on nuclear pursuit (using rivalry and US nuclear deployment variable) **
. logit nukepursue_JG l.vis_us l.vis_rus l.usnuc l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.rivalry l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if year<=1991, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-828.16962}  
Iteration 1:{space 3}log pseudolikelihood = {res:-457.53294}  
Iteration 2:{space 3}log pseudolikelihood = {res:-335.84548}  
Iteration 3:{space 3}log pseudolikelihood = {res:-297.59732}  
Iteration 4:{space 3}log pseudolikelihood = {res:-292.99127}  
Iteration 5:{space 3}log pseudolikelihood = {res:  -292.596}  
Iteration 6:{space 3}log pseudolikelihood = {res: -292.5929}  
Iteration 7:{space 3}log pseudolikelihood = {res: -292.5929}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:4,206}
{txt}{col 57}{lalign 13:Wald chi2({res:16})}{col 70} = {res}{ralign 6:564.74}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 9:-292.5929}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6467}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.345309{col 27}{space 2} .5958167{col 38}{space 1}   -2.26{col 47}{space 3}0.024{col 55}{space 4}-2.513089{col 68}{space 3}-.1775302
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.3631372{col 27}{space 2} .4844824{col 38}{space 1}   -0.75{col 47}{space 3}0.454{col 55}{space 4}-1.312705{col 68}{space 3} .5864308
{txt}{space 13} {c |}
{space 8}usnuc {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4710682{col 27}{space 2} .8160331{col 38}{space 1}    0.58{col 47}{space 3}0.564{col 55}{space 4}-1.128327{col 68}{space 3} 2.070464
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0076634{col 27}{space 2} .3961345{col 38}{space 1}    0.02{col 47}{space 3}0.985{col 55}{space 4}-.7687459{col 68}{space 3} .7840727
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .2854529{col 27}{space 2} .3577955{col 38}{space 1}    0.80{col 47}{space 3}0.425{col 55}{space 4}-.4158133{col 68}{space 3} .9867192
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.299829{col 27}{space 2} .6199217{col 38}{space 1}    2.10{col 47}{space 3}0.036{col 55}{space 4} .0848051{col 68}{space 3} 2.514853
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.4579057{col 27}{space 2} .4810682{col 38}{space 1}   -0.95{col 47}{space 3}0.341{col 55}{space 4}-1.400782{col 68}{space 3} .4849707
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.251083{col 27}{space 2} .6923547{col 38}{space 1}    4.70{col 47}{space 3}0.000{col 55}{space 4} 1.894092{col 68}{space 3} 4.608073
{txt}{space 13} {c |}
{space 6}rivalry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.046761{col 27}{space 2} .3427916{col 38}{space 1}    3.05{col 47}{space 3}0.002{col 55}{space 4} .3749022{col 68}{space 3} 1.718621
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7831843{col 27}{space 2} .4719573{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4}-1.708204{col 68}{space 3}  .141835
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0175999{col 27}{space 2} .0091653{col 38}{space 1}    1.92{col 47}{space 3}0.055{col 55}{space 4}-.0003639{col 68}{space 3} .0355636
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .6683038{col 27}{space 2}  .331761{col 38}{space 1}    2.01{col 47}{space 3}0.044{col 55}{space 4} .0180642{col 68}{space 3} 1.318544
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  1.44893{col 27}{space 2} .6003194{col 38}{space 1}    2.41{col 47}{space 3}0.016{col 55}{space 4} .2723257{col 68}{space 3} 2.625534
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.369901{col 27}{space 2} .1933284{col 38}{space 1}   -7.09{col 47}{space 3}0.000{col 55}{space 4}-1.748817{col 68}{space 3}-.9909838
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0733631{col 27}{space 2} .0125253{col 38}{space 1}    5.86{col 47}{space 3}0.000{col 55}{space 4}  .048814{col 68}{space 3} .0979122
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0011479{col 27}{space 2} .0002276{col 38}{space 1}   -5.04{col 47}{space 3}0.000{col 55}{space 4} -.001594{col 68}{space 3}-.0007018
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.897089{col 27}{space 2} 2.428029{col 38}{space 1}   -0.78{col 47}{space 3}0.435{col 55}{space 4}-6.655939{col 68}{space 3} 2.861761
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.vis_rus l.usnuc l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.rivalry l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.rivalry==1 & year<=1991, cluster(cowcc) //Model2 

{txt}note: {bf:L.usnuc} != 0 predicts failure perfectly;
      {bf:L.usnuc} omitted and 90 obs not used.

note: {bf:L.senstech} != 0 predicts success perfectly;
      {bf:L.senstech} omitted and 29 obs not used.

note: {bf:L.rivalry} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-285.44356}  
Iteration 1:{space 3}log pseudolikelihood = {res:-245.94349}  
Iteration 2:{space 3}log pseudolikelihood = {res:-217.34651}  
Iteration 3:{space 3}log pseudolikelihood = {res:-177.04154}  
Iteration 4:{space 3}log pseudolikelihood = {res: -177.0412}  (backed up)
Iteration 5:{space 3}log pseudolikelihood = {res:-177.04104}  (backed up)
Iteration 6:{space 3}log pseudolikelihood = {res:-177.04095}  (backed up)
Iteration 7:{space 3}log pseudolikelihood = {res:-176.42638}  (backed up)
Iteration 8:{space 3}log pseudolikelihood = {res:-145.66747}  (backed up)
Iteration 9:{space 3}log pseudolikelihood = {res:-121.52807}  
Iteration 10:{space 2}log pseudolikelihood = {res:-106.85803}  (backed up)
Iteration 11:{space 2}log pseudolikelihood = {res:-98.776686}  
Iteration 12:{space 2}log pseudolikelihood = {res:-98.366879}  
Iteration 13:{space 2}log pseudolikelihood = {res:-98.363424}  
Iteration 14:{space 2}log pseudolikelihood = {res:-98.363422}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,234}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:426.61}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-98.363422}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6554}

{txt}{ralign 79:(Std. err. adjusted for {res:59} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .1297178{col 27}{space 2} .9695881{col 38}{space 1}    0.13{col 47}{space 3}0.894{col 55}{space 4} -1.77064{col 68}{space 3} 2.030076
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.997157{col 27}{space 2} .5155186{col 38}{space 1}   -3.87{col 47}{space 3}0.000{col 55}{space 4}-3.007555{col 68}{space 3}-.9867589
{txt}{space 13} {c |}
{space 8}usnuc {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.325891{col 27}{space 2} .5983822{col 38}{space 1}   -2.22{col 47}{space 3}0.027{col 55}{space 4}-2.498699{col 68}{space 3}-.1530835
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.457606{col 27}{space 2} .7307543{col 38}{space 1}    3.36{col 47}{space 3}0.001{col 55}{space 4} 1.025354{col 68}{space 3} 3.889858
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .5621411{col 27}{space 2} .7060438{col 38}{space 1}    0.80{col 47}{space 3}0.426{col 55}{space 4}-.8216793{col 68}{space 3} 1.945962
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.300585{col 27}{space 2} .8323157{col 38}{space 1}   -1.56{col 47}{space 3}0.118{col 55}{space 4}-2.931893{col 68}{space 3} .3307243
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 3.485659{col 27}{space 2} 1.048637{col 38}{space 1}    3.32{col 47}{space 3}0.001{col 55}{space 4} 1.430369{col 68}{space 3} 5.540949
{txt}{space 13} {c |}
{space 6}rivalry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.2906729{col 27}{space 2} .6718487{col 38}{space 1}   -0.43{col 47}{space 3}0.665{col 55}{space 4}-1.607472{col 68}{space 3} 1.026126
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0037668{col 27}{space 2} .0112803{col 38}{space 1}   -0.33{col 47}{space 3}0.738{col 55}{space 4}-.0258759{col 68}{space 3} .0183422
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.230018{col 27}{space 2} .5838863{col 38}{space 1}    2.11{col 47}{space 3}0.035{col 55}{space 4} .0856218{col 68}{space 3} 2.374414
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.188886{col 27}{space 2} .1962725{col 38}{space 1}   -6.06{col 47}{space 3}0.000{col 55}{space 4}-1.573573{col 68}{space 3}-.8041994
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0633099{col 27}{space 2} .0131287{col 38}{space 1}    4.82{col 47}{space 3}0.000{col 55}{space 4} .0375781{col 68}{space 3} .0890418
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0009731{col 27}{space 2}   .00024{col 38}{space 1}   -4.05{col 47}{space 3}0.000{col 55}{space 4}-.0014436{col 68}{space 3}-.0005026
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-17.98135{col 27}{space 2} 5.520904{col 38}{space 1}   -3.26{col 47}{space 3}0.001{col 55}{space 4}-28.80213{col 68}{space 3}-7.160581
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit nukepursue_JG l.vis_us l.vis_rus l.usnuc l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.rivalry l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 i.year if year<=1991, cluster(cowcc) //Model3

{txt}note: {bf:1991.year} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-828.16962}  
Iteration 1:{space 3}log pseudolikelihood = {res:-461.24117}  
Iteration 2:{space 3}log pseudolikelihood = {res:-317.77058}  
Iteration 3:{space 3}log pseudolikelihood = {res:-270.14952}  
Iteration 4:{space 3}log pseudolikelihood = {res: -265.1848}  
Iteration 5:{space 3}log pseudolikelihood = {res:-264.45916}  
Iteration 6:{space 3}log pseudolikelihood = {res:-264.44333}  
Iteration 7:{space 3}log pseudolikelihood = {res:-264.44332}  
{res}
{txt}{col 1}Logistic regression{col 55}{lalign 13:Number of obs}{col 68} = {res}{ralign 8:4,206}
{txt}{col 55}{lalign 13:Wald chi2({res:55})}{col 68} = {res}{ralign 8:13856.93}
{txt}{col 55}{lalign 13:Prob > chi2}{col 68} = {res}{ralign 8:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-264.44332}{txt}{col 55}{lalign 13:Pseudo R2}{col 68} = {res}{ralign 8:0.6807}

{txt}{ralign 79:(Std. err. adjusted for {res:131} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -1.10346{col 27}{space 2} .4538054{col 38}{space 1}   -2.43{col 47}{space 3}0.015{col 55}{space 4}-1.992902{col 68}{space 3}-.2140176
{txt}{space 13} {c |}
{space 6}vis_rus {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6793488{col 27}{space 2} .4864559{col 38}{space 1}   -1.40{col 47}{space 3}0.163{col 55}{space 4}-1.632785{col 68}{space 3} .2740873
{txt}{space 13} {c |}
{space 8}usnuc {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3308322{col 27}{space 2} .8258329{col 38}{space 1}    0.40{col 47}{space 3}0.689{col 55}{space 4}-1.287771{col 68}{space 3} 1.949435
{txt}{space 13} {c |}
{space 5}nukeally {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0455136{col 27}{space 2} .4768257{col 38}{space 1}   -0.10{col 47}{space 3}0.924{col 55}{space 4}-.9800747{col 68}{space 3} .8890475
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .188312{col 27}{space 2} .3775111{col 38}{space 1}    0.50{col 47}{space 3}0.618{col 55}{space 4}-.5515962{col 68}{space 3} .9282202
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.304579{col 27}{space 2} .6938016{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4}-.0552468{col 68}{space 3} 2.664406
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.6640675{col 27}{space 2} .4749123{col 38}{space 1}   -1.40{col 47}{space 3}0.162{col 55}{space 4}-1.594878{col 68}{space 3} .2667435
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  3.11827{col 27}{space 2} 1.094897{col 38}{space 1}    2.85{col 47}{space 3}0.004{col 55}{space 4} .9723121{col 68}{space 3} 5.264228
{txt}{space 13} {c |}
{space 6}rivalry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.174662{col 27}{space 2} .3899625{col 38}{space 1}    3.01{col 47}{space 3}0.003{col 55}{space 4} .4103498{col 68}{space 3} 1.938975
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.8699902{col 27}{space 2} .5000282{col 38}{space 1}   -1.74{col 47}{space 3}0.082{col 55}{space 4}-1.850028{col 68}{space 3} .1100472
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0030705{col 27}{space 2} .0220609{col 38}{space 1}   -0.14{col 47}{space 3}0.889{col 55}{space 4} -.046309{col 68}{space 3}  .040168
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .9585551{col 27}{space 2} .3619267{col 38}{space 1}    2.65{col 47}{space 3}0.008{col 55}{space 4} .2491918{col 68}{space 3} 1.667918
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.599196{col 27}{space 2} .6245784{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .3750449{col 68}{space 3} 2.823347
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.601091{col 27}{space 2} .2206863{col 38}{space 1}   -7.26{col 47}{space 3}0.000{col 55}{space 4}-2.033629{col 68}{space 3}-1.168554
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0856504{col 27}{space 2} .0134918{col 38}{space 1}    6.35{col 47}{space 3}0.000{col 55}{space 4}  .059207{col 68}{space 3} .1120937
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0013254{col 27}{space 2} .0002229{col 38}{space 1}   -5.95{col 47}{space 3}0.000{col 55}{space 4}-.0017623{col 68}{space 3}-.0008885
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1952  {c |}{col 15}{res}{space 2} -.245249{col 27}{space 2} .3950634{col 38}{space 1}   -0.62{col 47}{space 3}0.535{col 55}{space 4}-1.019559{col 68}{space 3} .5290609
{txt}{space 8}1953  {c |}{col 15}{res}{space 2}  1.27134{col 27}{space 2} 1.152689{col 38}{space 1}    1.10{col 47}{space 3}0.270{col 55}{space 4} -.987889{col 68}{space 3} 3.530568
{txt}{space 8}1954  {c |}{col 15}{res}{space 2}   2.5584{col 27}{space 2} 1.417464{col 38}{space 1}    1.80{col 47}{space 3}0.071{col 55}{space 4}-.2197776{col 68}{space 3} 5.336578
{txt}{space 8}1955  {c |}{col 15}{res}{space 2} 3.181674{col 27}{space 2} 1.374168{col 38}{space 1}    2.32{col 47}{space 3}0.021{col 55}{space 4} .4883554{col 68}{space 3} 5.874993
{txt}{space 8}1956  {c |}{col 15}{res}{space 2} 1.266679{col 27}{space 2} 1.575003{col 38}{space 1}    0.80{col 47}{space 3}0.421{col 55}{space 4} -1.82027{col 68}{space 3} 4.353628
{txt}{space 8}1957  {c |}{col 15}{res}{space 2} .1100662{col 27}{space 2} 1.252336{col 38}{space 1}    0.09{col 47}{space 3}0.930{col 55}{space 4}-2.344468{col 68}{space 3}   2.5646
{txt}{space 8}1958  {c |}{col 15}{res}{space 2} .5366761{col 27}{space 2} 1.264888{col 38}{space 1}    0.42{col 47}{space 3}0.671{col 55}{space 4}-1.942458{col 68}{space 3}  3.01581
{txt}{space 8}1959  {c |}{col 15}{res}{space 2} 1.273374{col 27}{space 2} 1.201322{col 38}{space 1}    1.06{col 47}{space 3}0.289{col 55}{space 4}-1.081173{col 68}{space 3} 3.627921
{txt}{space 8}1960  {c |}{col 15}{res}{space 2} 1.785799{col 27}{space 2} 1.101956{col 38}{space 1}    1.62{col 47}{space 3}0.105{col 55}{space 4}-.3739958{col 68}{space 3} 3.945594
{txt}{space 8}1961  {c |}{col 15}{res}{space 2} .0681081{col 27}{space 2} 1.116394{col 38}{space 1}    0.06{col 47}{space 3}0.951{col 55}{space 4}-2.119984{col 68}{space 3}   2.2562
{txt}{space 8}1962  {c |}{col 15}{res}{space 2}-.3752781{col 27}{space 2} .9601706{col 38}{space 1}   -0.39{col 47}{space 3}0.696{col 55}{space 4}-2.257178{col 68}{space 3} 1.506622
{txt}{space 8}1963  {c |}{col 15}{res}{space 2}-.6168685{col 27}{space 2} 1.093794{col 38}{space 1}   -0.56{col 47}{space 3}0.573{col 55}{space 4}-2.760666{col 68}{space 3} 1.526929
{txt}{space 8}1964  {c |}{col 15}{res}{space 2}-.0951167{col 27}{space 2} 1.249117{col 38}{space 1}   -0.08{col 47}{space 3}0.939{col 55}{space 4}-2.543342{col 68}{space 3} 2.353109
{txt}{space 8}1965  {c |}{col 15}{res}{space 2}-.0895353{col 27}{space 2} 1.321262{col 38}{space 1}   -0.07{col 47}{space 3}0.946{col 55}{space 4}-2.679161{col 68}{space 3}  2.50009
{txt}{space 8}1966  {c |}{col 15}{res}{space 2}-1.522907{col 27}{space 2} 1.068106{col 38}{space 1}   -1.43{col 47}{space 3}0.154{col 55}{space 4}-3.616355{col 68}{space 3} .5705415
{txt}{space 8}1967  {c |}{col 15}{res}{space 2}-.1543295{col 27}{space 2} 1.574796{col 38}{space 1}   -0.10{col 47}{space 3}0.922{col 55}{space 4}-3.240873{col 68}{space 3} 2.932214
{txt}{space 8}1968  {c |}{col 15}{res}{space 2} .8435768{col 27}{space 2} 1.598598{col 38}{space 1}    0.53{col 47}{space 3}0.598{col 55}{space 4}-2.289617{col 68}{space 3}  3.97677
{txt}{space 8}1969  {c |}{col 15}{res}{space 2} .4921901{col 27}{space 2} 1.279172{col 38}{space 1}    0.38{col 47}{space 3}0.700{col 55}{space 4}-2.014941{col 68}{space 3} 2.999321
{txt}{space 8}1970  {c |}{col 15}{res}{space 2}  .881873{col 27}{space 2} 2.120172{col 38}{space 1}    0.42{col 47}{space 3}0.677{col 55}{space 4}-3.273587{col 68}{space 3} 5.037333
{txt}{space 8}1971  {c |}{col 15}{res}{space 2} 2.358059{col 27}{space 2} 1.300554{col 38}{space 1}    1.81{col 47}{space 3}0.070{col 55}{space 4}-.1909798{col 68}{space 3} 4.907097
{txt}{space 8}1972  {c |}{col 15}{res}{space 2} 2.479149{col 27}{space 2} 1.129239{col 38}{space 1}    2.20{col 47}{space 3}0.028{col 55}{space 4} .2658813{col 68}{space 3} 4.692417
{txt}{space 8}1973  {c |}{col 15}{res}{space 2} 2.205484{col 27}{space 2}  1.06167{col 38}{space 1}    2.08{col 47}{space 3}0.038{col 55}{space 4} .1246497{col 68}{space 3} 4.286319
{txt}{space 8}1974  {c |}{col 15}{res}{space 2}  2.41805{col 27}{space 2} .9438212{col 38}{space 1}    2.56{col 47}{space 3}0.010{col 55}{space 4} .5681941{col 68}{space 3} 4.267905
{txt}{space 8}1975  {c |}{col 15}{res}{space 2} 1.838488{col 27}{space 2} .8134167{col 38}{space 1}    2.26{col 47}{space 3}0.024{col 55}{space 4} .2442208{col 68}{space 3} 3.432756
{txt}{space 8}1976  {c |}{col 15}{res}{space 2} .7271646{col 27}{space 2} .9391576{col 38}{space 1}    0.77{col 47}{space 3}0.439{col 55}{space 4} -1.11355{col 68}{space 3}  2.56788
{txt}{space 8}1977  {c |}{col 15}{res}{space 2} .0647442{col 27}{space 2} .8750819{col 38}{space 1}    0.07{col 47}{space 3}0.941{col 55}{space 4}-1.650385{col 68}{space 3} 1.779873
{txt}{space 8}1978  {c |}{col 15}{res}{space 2} 1.660402{col 27}{space 2} 1.309138{col 38}{space 1}    1.27{col 47}{space 3}0.205{col 55}{space 4}-.9054612{col 68}{space 3} 4.226266
{txt}{space 8}1979  {c |}{col 15}{res}{space 2} 1.671246{col 27}{space 2}  1.44876{col 38}{space 1}    1.15{col 47}{space 3}0.249{col 55}{space 4}-1.168271{col 68}{space 3} 4.510763
{txt}{space 8}1980  {c |}{col 15}{res}{space 2} .9102166{col 27}{space 2} 1.101445{col 38}{space 1}    0.83{col 47}{space 3}0.409{col 55}{space 4}-1.248576{col 68}{space 3} 3.069009
{txt}{space 8}1981  {c |}{col 15}{res}{space 2} 2.113584{col 27}{space 2} 1.323974{col 38}{space 1}    1.60{col 47}{space 3}0.110{col 55}{space 4}-.4813563{col 68}{space 3} 4.708525
{txt}{space 8}1982  {c |}{col 15}{res}{space 2} 3.324492{col 27}{space 2} 1.177795{col 38}{space 1}    2.82{col 47}{space 3}0.005{col 55}{space 4} 1.016055{col 68}{space 3} 5.632928
{txt}{space 8}1983  {c |}{col 15}{res}{space 2} 3.147085{col 27}{space 2} 1.042212{col 38}{space 1}    3.02{col 47}{space 3}0.003{col 55}{space 4} 1.104387{col 68}{space 3} 5.189782
{txt}{space 8}1984  {c |}{col 15}{res}{space 2} 3.101693{col 27}{space 2} 1.000292{col 38}{space 1}    3.10{col 47}{space 3}0.002{col 55}{space 4} 1.141157{col 68}{space 3} 5.062229
{txt}{space 8}1985  {c |}{col 15}{res}{space 2} 2.876983{col 27}{space 2} .9777878{col 38}{space 1}    2.94{col 47}{space 3}0.003{col 55}{space 4} .9605545{col 68}{space 3} 4.793412
{txt}{space 8}1986  {c |}{col 15}{res}{space 2} 2.560518{col 27}{space 2} 1.055397{col 38}{space 1}    2.43{col 47}{space 3}0.015{col 55}{space 4} .4919776{col 68}{space 3} 4.629059
{txt}{space 8}1987  {c |}{col 15}{res}{space 2} 2.723877{col 27}{space 2} 1.083145{col 38}{space 1}    2.51{col 47}{space 3}0.012{col 55}{space 4} .6009512{col 68}{space 3} 4.846803
{txt}{space 8}1988  {c |}{col 15}{res}{space 2}  1.74241{col 27}{space 2} 1.331952{col 38}{space 1}    1.31{col 47}{space 3}0.191{col 55}{space 4}-.8681679{col 68}{space 3} 4.352989
{txt}{space 8}1989  {c |}{col 15}{res}{space 2} 1.661747{col 27}{space 2} 1.234661{col 38}{space 1}    1.35{col 47}{space 3}0.178{col 55}{space 4}-.7581429{col 68}{space 3} 4.081638
{txt}{space 8}1990  {c |}{col 15}{res}{space 2} 1.270687{col 27}{space 2}  .871142{col 38}{space 1}    1.46{col 47}{space 3}0.145{col 55}{space 4}-.4367201{col 68}{space 3} 2.978094
{txt}{space 8}1991  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.102126{col 27}{space 2} 2.588573{col 38}{space 1}   -0.43{col 47}{space 3}0.670{col 55}{space 4}-6.175636{col 68}{space 3} 3.971384
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 44 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.usnuc l.gdpcap_ln l.industry l.demo l.majorpower l.rivalry l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==1 & year<=1991, cluster(cowcc) //Model4

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-215.03576}  
Iteration 1:{space 3}log pseudolikelihood = {res:-143.15135}  
Iteration 2:{space 3}log pseudolikelihood = {res:-111.23033}  
Iteration 3:{space 3}log pseudolikelihood = {res:-72.809901}  
Iteration 4:{space 3}log pseudolikelihood = {res:-57.185883}  
Iteration 5:{space 3}log pseudolikelihood = {res:-54.117362}  
Iteration 6:{space 3}log pseudolikelihood = {res:-53.711646}  
Iteration 7:{space 3}log pseudolikelihood = {res:-53.705743}  
Iteration 8:{space 3}log pseudolikelihood = {res:-53.705742}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:1,476}
{txt}{col 56}{lalign 13:Wald chi2({res:14})}{col 69} = {res}{ralign 7:7459.70}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-53.705742}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.7502}

{txt}{ralign 79:(Std. err. adjusted for {res:42} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-2.578599{col 27}{space 2} 1.848412{col 38}{space 1}   -1.40{col 47}{space 3}0.163{col 55}{space 4}-6.201419{col 68}{space 3} 1.044221
{txt}{space 13} {c |}
{space 8}usnuc {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 2.328394{col 27}{space 2}  1.00905{col 38}{space 1}    2.31{col 47}{space 3}0.021{col 55}{space 4} .3506916{col 68}{space 3} 4.306097
{txt}{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7631784{col 27}{space 2} .9335219{col 38}{space 1}   -0.82{col 47}{space 3}0.414{col 55}{space 4}-2.592848{col 68}{space 3} 1.066491
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4833688{col 27}{space 2} 1.621583{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-2.694876{col 68}{space 3} 3.661613
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-3.374302{col 27}{space 2} .8434885{col 38}{space 1}   -4.00{col 47}{space 3}0.000{col 55}{space 4}-5.027509{col 68}{space 3}-1.721095
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 8.305556{col 27}{space 2} 1.457214{col 38}{space 1}    5.70{col 47}{space 3}0.000{col 55}{space 4} 5.449468{col 68}{space 3} 11.16164
{txt}{space 13} {c |}
{space 6}rivalry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.4458041{col 27}{space 2}   .57958{col 38}{space 1}   -0.77{col 47}{space 3}0.442{col 55}{space 4} -1.58176{col 68}{space 3} .6901518
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-6.152879{col 27}{space 2} 1.773221{col 38}{space 1}   -3.47{col 47}{space 3}0.001{col 55}{space 4}-9.628329{col 68}{space 3} -2.67743
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0520163{col 27}{space 2} .0276689{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4}-.0022137{col 68}{space 3} .1062463
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0743087{col 27}{space 2} .5009044{col 38}{space 1}    0.15{col 47}{space 3}0.882{col 55}{space 4} -.907446{col 68}{space 3} 1.056063
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .4186744{col 27}{space 2} .7223521{col 38}{space 1}    0.58{col 47}{space 3}0.562{col 55}{space 4}-.9971097{col 68}{space 3} 1.834459
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.717808{col 27}{space 2} .4145074{col 38}{space 1}   -4.14{col 47}{space 3}0.000{col 55}{space 4}-2.530227{col 68}{space 3}-.9053882
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0876613{col 27}{space 2}  .022677{col 38}{space 1}    3.87{col 47}{space 3}0.000{col 55}{space 4} .0432152{col 68}{space 3} .1321073
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} -.001311{col 27}{space 2} .0003395{col 38}{space 1}   -3.86{col 47}{space 3}0.000{col 55}{space 4}-.0019763{col 68}{space 3}-.0006456
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 9.262642{col 27}{space 2} 7.723228{col 38}{space 1}    1.20{col 47}{space 3}0.230{col 55}{space 4}-5.874606{col 68}{space 3} 24.39989
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 62 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.usnuc l.gdpcap_ln l.industry l.demo l.majorpower l.rivalry l.npt_rati l.npt_eff l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==0 & year<=1991, cluster(cowcc) //Model5

{txt}note: {bf:L.usnuc} != 0 predicts failure perfectly;
      {bf:L.usnuc} omitted and 19 obs not used.

note: {bf:L.majorpower} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-605.19422}  
Iteration 1:{space 3}log pseudolikelihood = {res:-602.99173}  
Iteration 2:{space 3}log pseudolikelihood = {res:-295.41844}  
Iteration 3:{space 3}log pseudolikelihood = {res:-213.37555}  
Iteration 4:{space 3}log pseudolikelihood = {res:-207.48218}  
Iteration 5:{space 3}log pseudolikelihood = {res:-207.24385}  
Iteration 6:{space 3}log pseudolikelihood = {res:-207.24264}  
Iteration 7:{space 3}log pseudolikelihood = {res:-207.24264}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:2,711}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:251.27}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-207.24264}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6576}

{txt}{ralign 79:(Std. err. adjusted for {res:102} clusters in {res:cowcc})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}nukepursue_JG{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}vis_us {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.393832{col 27}{space 2} .4117874{col 38}{space 1}   -3.38{col 47}{space 3}0.001{col 55}{space 4} -2.20092{col 68}{space 3}-.5867434
{txt}{space 13} {c |}
{space 8}usnuc {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 4}gdpcap_ln {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .3438744{col 27}{space 2} .3566956{col 38}{space 1}    0.96{col 47}{space 3}0.335{col 55}{space 4}-.3552362{col 68}{space 3} 1.042985
{txt}{space 13} {c |}
{space 5}industry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  1.70357{col 27}{space 2} .7610086{col 38}{space 1}    2.24{col 47}{space 3}0.025{col 55}{space 4} .2120208{col 68}{space 3}  3.19512
{txt}{space 13} {c |}
{space 9}demo {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0399038{col 27}{space 2} .5511211{col 38}{space 1}   -0.07{col 47}{space 3}0.942{col 55}{space 4}-1.120081{col 68}{space 3} 1.040274
{txt}{space 13} {c |}
{space 3}majorpower {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 6}rivalry {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.512257{col 27}{space 2} .4381694{col 38}{space 1}    3.45{col 47}{space 3}0.001{col 55}{space 4} .6534603{col 68}{space 3} 2.371053
{txt}{space 13} {c |}
{space 5}npt_rati {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.7520747{col 27}{space 2} .5825393{col 38}{space 1}   -1.29{col 47}{space 3}0.197{col 55}{space 4}-1.893831{col 68}{space 3} .3896814
{txt}{space 13} {c |}
{space 6}npt_eff {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} .0189769{col 27}{space 2} .0103829{col 38}{space 1}    1.83{col 47}{space 3}0.068{col 55}{space 4}-.0013732{col 68}{space 3}  .039327
{txt}{space 13} {c |}
{space 10}nca {c |}
{space 10}L1. {c |}{col 15}{res}{space 2} 1.026964{col 27}{space 2}   .41208{col 38}{space 1}    2.49{col 47}{space 3}0.013{col 55}{space 4} .2193016{col 68}{space 3} 1.834625
{txt}{space 13} {c |}
{space 5}senstech {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  1.64137{col 27}{space 2} .6703442{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .3275191{col 68}{space 3}  2.95522
{txt}{space 13} {c |}
{space 10}JG1 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-1.317236{col 27}{space 2} .2254429{col 38}{space 1}   -5.84{col 47}{space 3}0.000{col 55}{space 4}-1.759096{col 68}{space 3}-.8753761
{txt}{space 13} {c |}
{space 10}JG2 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}  .070025{col 27}{space 2} .0143494{col 38}{space 1}    4.88{col 47}{space 3}0.000{col 55}{space 4} .0419006{col 68}{space 3} .0981494
{txt}{space 13} {c |}
{space 10}JG3 {c |}
{space 10}L1. {c |}{col 15}{res}{space 2}-.0010877{col 27}{space 2} .0002538{col 38}{space 1}   -4.29{col 47}{space 3}0.000{col 55}{space 4}-.0015852{col 68}{space 3}-.0005902
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.027741{col 27}{space 2} 2.310192{col 38}{space 1}   -1.31{col 47}{space 3}0.190{col 55}{space 4}-7.555633{col 68}{space 3} 1.500151
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ** Appendix 10: The effect of superpower leader visit on nuclear pursuit (including post cold war) **
. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati_expand l.npt_eff_expand l.nca l.senstech l.JG1 l.JG2 l.JG3, cluster(cowcc) //Model1

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1016.7298}  
Iteration 1:{space 3}log pseudolikelihood = {res:-600.42108}  
Iteration 2:{space 3}log pseudolikelihood = {res:-410.12715}  
Iteration 3:{space 3}log pseudolikelihood = {res:-357.74488}  
Iteration 4:{space 3}log pseudolikelihood = {res:-341.32567}  
Iteration 5:{space 3}log pseudolikelihood = {res:-334.39245}  
Iteration 6:{space 3}log pseudolikelihood = {res:-333.74807}  
Iteration 7:{space 3}log pseudolikelihood = {res:-333.74229}  
Iteration 8:{space 3}log pseudolikelihood = {res:-333.74229}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:5,628}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:528.44}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-333.74229}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6717}

{txt}{ralign 81:(Std. err. adjusted for {res:152} clusters in {res:cowcc})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  nukepursue_JG{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}vis_us {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.045891{col 29}{space 2} .3790344{col 40}{space 1}   -2.76{col 49}{space 3}0.006{col 57}{space 4}-1.788784{col 70}{space 3}-.3029968
{txt}{space 15} {c |}
{space 8}vis_rus {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.6386219{col 29}{space 2} .4541616{col 40}{space 1}   -1.41{col 49}{space 3}0.160{col 57}{space 4}-1.528762{col 70}{space 3} .2515185
{txt}{space 15} {c |}
{space 7}nukeally {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.2264843{col 29}{space 2} .3902796{col 40}{space 1}   -0.58{col 49}{space 3}0.562{col 57}{space 4}-.9914183{col 70}{space 3} .5384498
{txt}{space 15} {c |}
{space 6}gdpcap_ln {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .4387523{col 29}{space 2} .2977409{col 40}{space 1}    1.47{col 49}{space 3}0.141{col 57}{space 4}-.1448092{col 70}{space 3} 1.022314
{txt}{space 15} {c |}
{space 7}industry {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 1.028873{col 29}{space 2} .5659906{col 40}{space 1}    1.82{col 49}{space 3}0.069{col 57}{space 4}-.0804485{col 70}{space 3} 2.138194
{txt}{space 15} {c |}
{space 11}demo {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} -.941162{col 29}{space 2} .4940653{col 40}{space 1}   -1.90{col 49}{space 3}0.057{col 57}{space 4}-1.909512{col 70}{space 3} .0271882
{txt}{space 15} {c |}
{space 5}majorpower {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 3.832527{col 29}{space 2} .8073964{col 40}{space 1}    4.75{col 49}{space 3}0.000{col 57}{space 4}  2.25006{col 70}{space 3} 5.414995
{txt}{space 15} {c |}
{space 7}conflict {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 1.916176{col 29}{space 2} .4011509{col 40}{space 1}    4.78{col 49}{space 3}0.000{col 57}{space 4} 1.129934{col 70}{space 3} 2.702417
{txt}{space 15} {c |}
npt_rati_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.0250936{col 29}{space 2} .4787953{col 40}{space 1}   -0.05{col 49}{space 3}0.958{col 57}{space 4}-.9635151{col 70}{space 3} .9133278
{txt}{space 15} {c |}
{space 1}npt_eff_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0036401{col 29}{space 2}  .005776{col 40}{space 1}    0.63{col 49}{space 3}0.529{col 57}{space 4}-.0076807{col 70}{space 3} .0149609
{txt}{space 15} {c |}
{space 12}nca {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}  .697486{col 29}{space 2} .2769285{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .1547162{col 70}{space 3} 1.240256
{txt}{space 15} {c |}
{space 7}senstech {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .9184406{col 29}{space 2} .4777626{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4} -.017957{col 70}{space 3} 1.854838
{txt}{space 15} {c |}
{space 12}JG1 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.590518{col 29}{space 2} .2160541{col 40}{space 1}   -7.36{col 49}{space 3}0.000{col 57}{space 4}-2.013976{col 70}{space 3}-1.167059
{txt}{space 15} {c |}
{space 12}JG2 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0883325{col 29}{space 2} .0140031{col 40}{space 1}    6.31{col 49}{space 3}0.000{col 57}{space 4}  .060887{col 70}{space 3} .1157781
{txt}{space 15} {c |}
{space 12}JG3 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.0014054{col 29}{space 2}  .000253{col 40}{space 1}   -5.55{col 49}{space 3}0.000{col 57}{space 4}-.0019013{col 70}{space 3}-.0009095
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.815861{col 29}{space 2} 1.864629{col 40}{space 1}   -1.51{col 49}{space 3}0.131{col 57}{space 4}-6.470466{col 70}{space 3} .8387437
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 567 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati_expand l.npt_eff_expand l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.conflict==1, cluster(cowcc) //Model2 

{txt}note: {bf:L.conflict} omitted because of collinearity.
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -507.0076}  
Iteration 1:{space 3}log pseudolikelihood = {res:-323.98963}  
Iteration 2:{space 3}log pseudolikelihood = {res:-217.71304}  
Iteration 3:{space 3}log pseudolikelihood = {res:-183.69324}  
Iteration 4:{space 3}log pseudolikelihood = {res:-175.05357}  
Iteration 5:{space 3}log pseudolikelihood = {res: -170.0151}  
Iteration 6:{space 3}log pseudolikelihood = {res:-169.68419}  
Iteration 7:{space 3}log pseudolikelihood = {res:-169.67913}  
Iteration 8:{space 3}log pseudolikelihood = {res:-169.67913}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,580}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:582.28}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-169.67913}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6653}

{txt}{ralign 81:(Std. err. adjusted for {res:48} clusters in {res:cowcc})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  nukepursue_JG{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}vis_us {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.053359{col 29}{space 2} .3862032{col 40}{space 1}   -2.73{col 49}{space 3}0.006{col 57}{space 4}-1.810303{col 70}{space 3}-.2964144
{txt}{space 15} {c |}
{space 8}vis_rus {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 1.195164{col 29}{space 2} .4335611{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .3453996{col 70}{space 3} 2.044928
{txt}{space 15} {c |}
{space 7}nukeally {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .2293531{col 29}{space 2}  .571572{col 40}{space 1}    0.40{col 49}{space 3}0.688{col 57}{space 4}-.8909075{col 70}{space 3} 1.349614
{txt}{space 15} {c |}
{space 6}gdpcap_ln {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.1003917{col 29}{space 2} .3285947{col 40}{space 1}   -0.31{col 49}{space 3}0.760{col 57}{space 4}-.7444254{col 70}{space 3}  .543642
{txt}{space 15} {c |}
{space 7}industry {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 1.025691{col 29}{space 2} .6145318{col 40}{space 1}    1.67{col 49}{space 3}0.095{col 57}{space 4}-.1787693{col 70}{space 3} 2.230151
{txt}{space 15} {c |}
{space 11}demo {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.5379602{col 29}{space 2} .7228294{col 40}{space 1}   -0.74{col 49}{space 3}0.457{col 57}{space 4} -1.95468{col 70}{space 3} .8787594
{txt}{space 15} {c |}
{space 5}majorpower {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 3.104824{col 29}{space 2} .9229888{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} 1.295799{col 70}{space 3} 4.913849
{txt}{space 15} {c |}
{space 7}conflict {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
npt_rati_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.7028638{col 29}{space 2} .6486938{col 40}{space 1}   -1.08{col 49}{space 3}0.279{col 57}{space 4} -1.97428{col 70}{space 3} .5685526
{txt}{space 15} {c |}
{space 1}npt_eff_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0127915{col 29}{space 2} .0084383{col 40}{space 1}    1.52{col 49}{space 3}0.130{col 57}{space 4}-.0037473{col 70}{space 3} .0293302
{txt}{space 15} {c |}
{space 12}nca {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .4646626{col 29}{space 2} .3815797{col 40}{space 1}    1.22{col 49}{space 3}0.223{col 57}{space 4}-.2832199{col 70}{space 3} 1.212545
{txt}{space 15} {c |}
{space 7}senstech {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 1.151292{col 29}{space 2} .6295323{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4}-.0825689{col 70}{space 3} 2.385152
{txt}{space 15} {c |}
{space 12}JG1 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.338137{col 29}{space 2} .2145948{col 40}{space 1}   -6.24{col 49}{space 3}0.000{col 57}{space 4}-1.758735{col 70}{space 3}-.9175387
{txt}{space 15} {c |}
{space 12}JG2 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0741884{col 29}{space 2} .0150148{col 40}{space 1}    4.94{col 49}{space 3}0.000{col 57}{space 4}   .04476{col 70}{space 3} .1036168
{txt}{space 15} {c |}
{space 12}JG3 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.0011977{col 29}{space 2} .0002801{col 40}{space 1}   -4.28{col 49}{space 3}0.000{col 57}{space 4}-.0017466{col 70}{space 3}-.0006488
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.518743{col 29}{space 2}  2.10451{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-1.606021{col 70}{space 3} 6.643507
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 138 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.vis_rus l.nukeally l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati_expand l.nca l.senstech l.JG1 l.JG2 l.JG3 i.year, cluster(cowcc) //Model3

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1016.7298}  
Iteration 1:{space 3}log pseudolikelihood = {res:-593.16553}  
Iteration 2:{space 3}log pseudolikelihood = {res:-381.85342}  
Iteration 3:{space 3}log pseudolikelihood = {res:-319.89199}  
Iteration 4:{space 3}log pseudolikelihood = {res:-302.66802}  
Iteration 5:{space 3}log pseudolikelihood = {res:-295.49956}  
Iteration 6:{space 3}log pseudolikelihood = {res:-294.74491}  
Iteration 7:{space 3}log pseudolikelihood = {res:-294.73326}  
Iteration 8:{space 3}log pseudolikelihood = {res:-294.73325}  
{res}
{txt}{col 1}Logistic regression{col 55}{lalign 13:Number of obs}{col 68} = {res}{ralign 8:5,628}
{txt}{col 55}{lalign 13:Wald chi2({res:64})}{col 68} = {res}{ralign 8:17523.41}
{txt}{col 55}{lalign 13:Prob > chi2}{col 68} = {res}{ralign 8:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-294.73325}{txt}{col 55}{lalign 13:Pseudo R2}{col 68} = {res}{ralign 8:0.7101}

{txt}{ralign 81:(Std. err. adjusted for {res:152} clusters in {res:cowcc})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  nukepursue_JG{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}vis_us {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.094637{col 29}{space 2} .4296764{col 40}{space 1}   -2.55{col 49}{space 3}0.011{col 57}{space 4}-1.936787{col 70}{space 3}-.2524862
{txt}{space 15} {c |}
{space 8}vis_rus {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.7585582{col 29}{space 2} .3548349{col 40}{space 1}   -2.14{col 49}{space 3}0.033{col 57}{space 4}-1.454022{col 70}{space 3}-.0630946
{txt}{space 15} {c |}
{space 7}nukeally {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} -.320407{col 29}{space 2} .4590217{col 40}{space 1}   -0.70{col 49}{space 3}0.485{col 57}{space 4}-1.220073{col 70}{space 3}  .579259
{txt}{space 15} {c |}
{space 6}gdpcap_ln {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .4104576{col 29}{space 2} .3079034{col 40}{space 1}    1.33{col 49}{space 3}0.183{col 57}{space 4} -.193022{col 70}{space 3} 1.013937
{txt}{space 15} {c |}
{space 7}industry {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .9748978{col 29}{space 2} .6711412{col 40}{space 1}    1.45{col 49}{space 3}0.146{col 57}{space 4}-.3405148{col 70}{space 3}  2.29031
{txt}{space 15} {c |}
{space 11}demo {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} -1.01504{col 29}{space 2} .5116549{col 40}{space 1}   -1.98{col 49}{space 3}0.047{col 57}{space 4}-2.017865{col 70}{space 3}-.0122151
{txt}{space 15} {c |}
{space 5}majorpower {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 4.212552{col 29}{space 2} 1.424299{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4} 1.420977{col 70}{space 3} 7.004128
{txt}{space 15} {c |}
{space 7}conflict {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 1.715405{col 29}{space 2} .4826094{col 40}{space 1}    3.55{col 49}{space 3}0.000{col 57}{space 4} .7695085{col 70}{space 3} 2.661302
{txt}{space 15} {c |}
npt_rati_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.4211435{col 29}{space 2} .5419905{col 40}{space 1}   -0.78{col 49}{space 3}0.437{col 57}{space 4}-1.483425{col 70}{space 3} .6411384
{txt}{space 15} {c |}
{space 12}nca {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .9150251{col 29}{space 2} .3249896{col 40}{space 1}    2.82{col 49}{space 3}0.005{col 57}{space 4} .2780571{col 70}{space 3} 1.551993
{txt}{space 15} {c |}
{space 7}senstech {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .9230749{col 29}{space 2}  .612286{col 40}{space 1}    1.51{col 49}{space 3}0.132{col 57}{space 4}-.2769836{col 70}{space 3} 2.123133
{txt}{space 15} {c |}
{space 12}JG1 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.740638{col 29}{space 2} .2224831{col 40}{space 1}   -7.82{col 49}{space 3}0.000{col 57}{space 4}-2.176697{col 70}{space 3}-1.304579
{txt}{space 15} {c |}
{space 12}JG2 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0946901{col 29}{space 2} .0136859{col 40}{space 1}    6.92{col 49}{space 3}0.000{col 57}{space 4} .0678661{col 70}{space 3}  .121514
{txt}{space 15} {c |}
{space 12}JG3 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.0014783{col 29}{space 2} .0002288{col 40}{space 1}   -6.46{col 49}{space 3}0.000{col 57}{space 4}-.0019268{col 70}{space 3}-.0010299
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1952  {c |}{col 17}{res}{space 2} -.013471{col 29}{space 2} .4878279{col 40}{space 1}   -0.03{col 49}{space 3}0.978{col 57}{space 4}-.9695961{col 70}{space 3} .9426541
{txt}{space 10}1953  {c |}{col 17}{res}{space 2} 1.490195{col 29}{space 2} 1.367618{col 40}{space 1}    1.09{col 49}{space 3}0.276{col 57}{space 4}-1.190286{col 70}{space 3} 4.170676
{txt}{space 10}1954  {c |}{col 17}{res}{space 2} 2.900623{col 29}{space 2} 1.625722{col 40}{space 1}    1.78{col 49}{space 3}0.074{col 57}{space 4}-.2857346{col 70}{space 3}  6.08698
{txt}{space 10}1955  {c |}{col 17}{res}{space 2} 2.321847{col 29}{space 2} 1.849415{col 40}{space 1}    1.26{col 49}{space 3}0.209{col 57}{space 4} -1.30294{col 70}{space 3} 5.946633
{txt}{space 10}1956  {c |}{col 17}{res}{space 2}  1.34736{col 29}{space 2} 1.672343{col 40}{space 1}    0.81{col 49}{space 3}0.420{col 57}{space 4}-1.930371{col 70}{space 3} 4.625091
{txt}{space 10}1957  {c |}{col 17}{res}{space 2} .3285615{col 29}{space 2} 1.451509{col 40}{space 1}    0.23{col 49}{space 3}0.821{col 57}{space 4}-2.516343{col 70}{space 3} 3.173466
{txt}{space 10}1958  {c |}{col 17}{res}{space 2} 1.046645{col 29}{space 2} 1.504018{col 40}{space 1}    0.70{col 49}{space 3}0.486{col 57}{space 4}-1.901175{col 70}{space 3} 3.994466
{txt}{space 10}1959  {c |}{col 17}{res}{space 2} 1.847827{col 29}{space 2} 1.455074{col 40}{space 1}    1.27{col 49}{space 3}0.204{col 57}{space 4}-1.004065{col 70}{space 3} 4.699718
{txt}{space 10}1960  {c |}{col 17}{res}{space 2} 2.147435{col 29}{space 2} 1.445202{col 40}{space 1}    1.49{col 49}{space 3}0.137{col 57}{space 4}-.6851084{col 70}{space 3} 4.979978
{txt}{space 10}1961  {c |}{col 17}{res}{space 2} .0217842{col 29}{space 2} 1.395456{col 40}{space 1}    0.02{col 49}{space 3}0.988{col 57}{space 4} -2.71326{col 70}{space 3} 2.756829
{txt}{space 10}1962  {c |}{col 17}{res}{space 2} .6489553{col 29}{space 2} 1.326649{col 40}{space 1}    0.49{col 49}{space 3}0.625{col 57}{space 4}-1.951229{col 70}{space 3}  3.24914
{txt}{space 10}1963  {c |}{col 17}{res}{space 2} .0821322{col 29}{space 2} 1.476384{col 40}{space 1}    0.06{col 49}{space 3}0.956{col 57}{space 4}-2.811527{col 70}{space 3} 2.975791
{txt}{space 10}1964  {c |}{col 17}{res}{space 2} .7918514{col 29}{space 2} 1.573819{col 40}{space 1}    0.50{col 49}{space 3}0.615{col 57}{space 4}-2.292777{col 70}{space 3}  3.87648
{txt}{space 10}1965  {c |}{col 17}{res}{space 2} 1.020254{col 29}{space 2} 1.556963{col 40}{space 1}    0.66{col 49}{space 3}0.512{col 57}{space 4}-2.031337{col 70}{space 3} 4.071846
{txt}{space 10}1966  {c |}{col 17}{res}{space 2}-1.229495{col 29}{space 2} 1.496801{col 40}{space 1}   -0.82{col 49}{space 3}0.411{col 57}{space 4}-4.163171{col 70}{space 3} 1.704181
{txt}{space 10}1967  {c |}{col 17}{res}{space 2} .2329519{col 29}{space 2} 1.882173{col 40}{space 1}    0.12{col 49}{space 3}0.901{col 57}{space 4}-3.456039{col 70}{space 3} 3.921943
{txt}{space 10}1968  {c |}{col 17}{res}{space 2} 1.372128{col 29}{space 2} 1.890616{col 40}{space 1}    0.73{col 49}{space 3}0.468{col 57}{space 4}-2.333412{col 70}{space 3} 5.077667
{txt}{space 10}1969  {c |}{col 17}{res}{space 2}  .741483{col 29}{space 2} 1.479836{col 40}{space 1}    0.50{col 49}{space 3}0.616{col 57}{space 4}-2.158943{col 70}{space 3} 3.641909
{txt}{space 10}1970  {c |}{col 17}{res}{space 2} 1.085031{col 29}{space 2} 2.762152{col 40}{space 1}    0.39{col 49}{space 3}0.694{col 57}{space 4}-4.328687{col 70}{space 3} 6.498749
{txt}{space 10}1971  {c |}{col 17}{res}{space 2} 2.533893{col 29}{space 2} 2.298046{col 40}{space 1}    1.10{col 49}{space 3}0.270{col 57}{space 4}-1.970195{col 70}{space 3}  7.03798
{txt}{space 10}1972  {c |}{col 17}{res}{space 2}  2.17374{col 29}{space 2} 2.034831{col 40}{space 1}    1.07{col 49}{space 3}0.285{col 57}{space 4}-1.814455{col 70}{space 3} 6.161935
{txt}{space 10}1973  {c |}{col 17}{res}{space 2} 2.482344{col 29}{space 2} 1.831935{col 40}{space 1}    1.36{col 49}{space 3}0.175{col 57}{space 4}-1.108183{col 70}{space 3}  6.07287
{txt}{space 10}1974  {c |}{col 17}{res}{space 2} 2.483603{col 29}{space 2} 1.734194{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.9153548{col 70}{space 3}  5.88256
{txt}{space 10}1975  {c |}{col 17}{res}{space 2} 1.861019{col 29}{space 2} 1.665445{col 40}{space 1}    1.12{col 49}{space 3}0.264{col 57}{space 4}-1.403193{col 70}{space 3}  5.12523
{txt}{space 10}1976  {c |}{col 17}{res}{space 2} .7509754{col 29}{space 2} 1.657902{col 40}{space 1}    0.45{col 49}{space 3}0.651{col 57}{space 4}-2.498452{col 70}{space 3} 4.000403
{txt}{space 10}1977  {c |}{col 17}{res}{space 2}-.0379554{col 29}{space 2}  1.62513{col 40}{space 1}   -0.02{col 49}{space 3}0.981{col 57}{space 4}-3.223151{col 70}{space 3}  3.14724
{txt}{space 10}1978  {c |}{col 17}{res}{space 2} 1.671829{col 29}{space 2} 1.737084{col 40}{space 1}    0.96{col 49}{space 3}0.336{col 57}{space 4}-1.732792{col 70}{space 3} 5.076451
{txt}{space 10}1979  {c |}{col 17}{res}{space 2} 1.534142{col 29}{space 2} 1.895943{col 40}{space 1}    0.81{col 49}{space 3}0.418{col 57}{space 4}-2.181838{col 70}{space 3} 5.250122
{txt}{space 10}1980  {c |}{col 17}{res}{space 2} .9220037{col 29}{space 2} 1.885586{col 40}{space 1}    0.49{col 49}{space 3}0.625{col 57}{space 4}-2.773676{col 70}{space 3} 4.617684
{txt}{space 10}1981  {c |}{col 17}{res}{space 2} 1.919505{col 29}{space 2} 1.773589{col 40}{space 1}    1.08{col 49}{space 3}0.279{col 57}{space 4}-1.556666{col 70}{space 3} 5.395675
{txt}{space 10}1982  {c |}{col 17}{res}{space 2} 3.145798{col 29}{space 2} 1.716983{col 40}{space 1}    1.83{col 49}{space 3}0.067{col 57}{space 4} -.219427{col 70}{space 3} 6.511024
{txt}{space 10}1983  {c |}{col 17}{res}{space 2} 2.963919{col 29}{space 2} 1.688555{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-.3455866{col 70}{space 3} 6.273426
{txt}{space 10}1984  {c |}{col 17}{res}{space 2} 2.919423{col 29}{space 2}  1.61944{col 40}{space 1}    1.80{col 49}{space 3}0.071{col 57}{space 4}  -.25462{col 70}{space 3} 6.093466
{txt}{space 10}1985  {c |}{col 17}{res}{space 2} 2.744418{col 29}{space 2} 1.639597{col 40}{space 1}    1.67{col 49}{space 3}0.094{col 57}{space 4}-.4691322{col 70}{space 3} 5.957968
{txt}{space 10}1986  {c |}{col 17}{res}{space 2} 2.487519{col 29}{space 2} 1.705849{col 40}{space 1}    1.46{col 49}{space 3}0.145{col 57}{space 4}-.8558846{col 70}{space 3} 5.830922
{txt}{space 10}1987  {c |}{col 17}{res}{space 2} 2.619695{col 29}{space 2} 1.717793{col 40}{space 1}    1.53{col 49}{space 3}0.127{col 57}{space 4}-.7471182{col 70}{space 3} 5.986507
{txt}{space 10}1988  {c |}{col 17}{res}{space 2}  1.94739{col 29}{space 2} 1.891442{col 40}{space 1}    1.03{col 49}{space 3}0.303{col 57}{space 4}-1.759769{col 70}{space 3} 5.654548
{txt}{space 10}1989  {c |}{col 17}{res}{space 2} 1.870315{col 29}{space 2} 1.848039{col 40}{space 1}    1.01{col 49}{space 3}0.312{col 57}{space 4}-1.751775{col 70}{space 3} 5.492405
{txt}{space 10}1990  {c |}{col 17}{res}{space 2} 1.482001{col 29}{space 2} 1.910185{col 40}{space 1}    0.78{col 49}{space 3}0.438{col 57}{space 4}-2.261894{col 70}{space 3} 5.225895
{txt}{space 10}1991  {c |}{col 17}{res}{space 2} .1999613{col 29}{space 2} 1.930402{col 40}{space 1}    0.10{col 49}{space 3}0.917{col 57}{space 4}-3.583556{col 70}{space 3} 3.983479
{txt}{space 10}1992  {c |}{col 17}{res}{space 2}-.9513624{col 29}{space 2} 1.846254{col 40}{space 1}   -0.52{col 49}{space 3}0.606{col 57}{space 4}-4.569954{col 70}{space 3} 2.667229
{txt}{space 10}1993  {c |}{col 17}{res}{space 2}-.1351829{col 29}{space 2} 1.743101{col 40}{space 1}   -0.08{col 49}{space 3}0.938{col 57}{space 4}-3.551597{col 70}{space 3} 3.281232
{txt}{space 10}1994  {c |}{col 17}{res}{space 2}-.0335045{col 29}{space 2} 1.792886{col 40}{space 1}   -0.02{col 49}{space 3}0.985{col 57}{space 4}-3.547496{col 70}{space 3} 3.480487
{txt}{space 10}1995  {c |}{col 17}{res}{space 2} .7359162{col 29}{space 2} 1.754856{col 40}{space 1}    0.42{col 49}{space 3}0.675{col 57}{space 4}-2.703538{col 70}{space 3}  4.17537
{txt}{space 10}1996  {c |}{col 17}{res}{space 2} 1.409613{col 29}{space 2} 1.727321{col 40}{space 1}    0.82{col 49}{space 3}0.414{col 57}{space 4}-1.975875{col 70}{space 3}   4.7951
{txt}{space 10}1997  {c |}{col 17}{res}{space 2} 1.885435{col 29}{space 2} 1.739387{col 40}{space 1}    1.08{col 49}{space 3}0.278{col 57}{space 4}  -1.5237{col 70}{space 3}  5.29457
{txt}{space 10}1998  {c |}{col 17}{res}{space 2} 1.605928{col 29}{space 2} 1.748752{col 40}{space 1}    0.92{col 49}{space 3}0.358{col 57}{space 4}-1.821562{col 70}{space 3} 5.033419
{txt}{space 10}1999  {c |}{col 17}{res}{space 2} 1.869251{col 29}{space 2} 1.811624{col 40}{space 1}    1.03{col 49}{space 3}0.302{col 57}{space 4}-1.681468{col 70}{space 3} 5.419969
{txt}{space 10}2000  {c |}{col 17}{res}{space 2} 2.127705{col 29}{space 2} 1.854553{col 40}{space 1}    1.15{col 49}{space 3}0.251{col 57}{space 4}-1.507152{col 70}{space 3} 5.762563
{txt}{space 10}2001  {c |}{col 17}{res}{space 2} 2.254784{col 29}{space 2} 1.881859{col 40}{space 1}    1.20{col 49}{space 3}0.231{col 57}{space 4}-1.433593{col 70}{space 3}  5.94316
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -3.09877{col 29}{space 2} 2.108267{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4}-7.230898{col 70}{space 3} 1.033357
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 581 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati_expand l.npt_eff_expand l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==1, cluster(cowcc) //Model4 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-226.61791}  
Iteration 1:{space 3}log pseudolikelihood = {res:-189.61509}  
Iteration 2:{space 3}log pseudolikelihood = {res:-169.98134}  (backed up)
Iteration 3:{space 3}log pseudolikelihood = {res:-110.41824}  
Iteration 4:{space 3}log pseudolikelihood = {res:-79.736765}  
Iteration 5:{space 3}log pseudolikelihood = {res:-68.201226}  
Iteration 6:{space 3}log pseudolikelihood = {res:-61.565735}  
Iteration 7:{space 3}log pseudolikelihood = {res:-58.585841}  
Iteration 8:{space 3}log pseudolikelihood = {res:-58.202958}  
Iteration 9:{space 3}log pseudolikelihood = {res:-58.197717}  
Iteration 10:{space 2}log pseudolikelihood = {res:-58.197712}  
{res}
{txt}{col 1}Logistic regression{col 56}{lalign 13:Number of obs}{col 69} = {res}{ralign 7:1,863}
{txt}{col 56}{lalign 13:Wald chi2({res:13})}{col 69} = {res}{ralign 7:1176.73}
{txt}{col 56}{lalign 13:Prob > chi2}{col 69} = {res}{ralign 7:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-58.197712}{txt}{col 56}{lalign 13:Pseudo R2}{col 69} = {res}{ralign 7:0.7432}

{txt}{ralign 81:(Std. err. adjusted for {res:46} clusters in {res:cowcc})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  nukepursue_JG{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}vis_us {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.266516{col 29}{space 2} .8026506{col 40}{space 1}   -1.58{col 49}{space 3}0.115{col 57}{space 4}-2.839683{col 70}{space 3} .3066499
{txt}{space 15} {c |}
{space 6}gdpcap_ln {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.075014{col 29}{space 2} .9066667{col 40}{space 1}   -1.19{col 49}{space 3}0.236{col 57}{space 4}-2.852048{col 70}{space 3} .7020202
{txt}{space 15} {c |}
{space 7}industry {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .8978014{col 29}{space 2}  1.66217{col 40}{space 1}    0.54{col 49}{space 3}0.589{col 57}{space 4}-2.359993{col 70}{space 3} 4.155595
{txt}{space 15} {c |}
{space 11}demo {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-3.032804{col 29}{space 2} .8021805{col 40}{space 1}   -3.78{col 49}{space 3}0.000{col 57}{space 4}-4.605049{col 70}{space 3}-1.460559
{txt}{space 15} {c |}
{space 5}majorpower {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 6.483801{col 29}{space 2} 1.253035{col 40}{space 1}    5.17{col 49}{space 3}0.000{col 57}{space 4} 4.027898{col 70}{space 3} 8.939704
{txt}{space 15} {c |}
{space 7}conflict {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 2.249974{col 29}{space 2} .7519946{col 40}{space 1}    2.99{col 49}{space 3}0.003{col 57}{space 4} .7760921{col 70}{space 3} 3.723857
{txt}{space 15} {c |}
npt_rati_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-5.281216{col 29}{space 2} 1.499801{col 40}{space 1}   -3.52{col 49}{space 3}0.000{col 57}{space 4}-8.220772{col 70}{space 3}-2.341659
{txt}{space 15} {c |}
{space 1}npt_eff_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0456184{col 29}{space 2} .0231217{col 40}{space 1}    1.97{col 49}{space 3}0.048{col 57}{space 4} .0003008{col 70}{space 3} .0909361
{txt}{space 15} {c |}
{space 12}nca {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.3639613{col 29}{space 2} .2304776{col 40}{space 1}   -1.58{col 49}{space 3}0.114{col 57}{space 4}-.8156892{col 70}{space 3} .0877665
{txt}{space 15} {c |}
{space 7}senstech {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.3679891{col 29}{space 2} .6223757{col 40}{space 1}   -0.59{col 49}{space 3}0.554{col 57}{space 4}-1.587823{col 70}{space 3} .8518449
{txt}{space 15} {c |}
{space 12}JG1 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-1.914779{col 29}{space 2} .3454493{col 40}{space 1}   -5.54{col 49}{space 3}0.000{col 57}{space 4}-2.591847{col 70}{space 3}-1.237711
{txt}{space 15} {c |}
{space 12}JG2 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .1043719{col 29}{space 2} .0195313{col 40}{space 1}    5.34{col 49}{space 3}0.000{col 57}{space 4} .0660911{col 70}{space 3} .1426526
{txt}{space 15} {c |}
{space 12}JG3 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.0016462{col 29}{space 2} .0003469{col 40}{space 1}   -4.75{col 49}{space 3}0.000{col 57}{space 4} -.002326{col 70}{space 3}-.0009664
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 11.16831{col 29}{space 2} 8.166064{col 40}{space 1}    1.37{col 49}{space 3}0.171{col 57}{space 4} -4.83688{col 70}{space 3}  27.1735
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 441 failures and 0 successes completely determined.{p_end}

{com}. logit nukepursue_JG l.vis_us l.gdpcap_ln l.industry l.demo l.majorpower l.conflict l.npt_rati_expand l.npt_eff_expand l.nca l.senstech l.JG1 l.JG2 l.JG3 if l.us_ally==0, cluster(cowcc) //Model5

{txt}note: {bf:L.majorpower} != 0 predicts failure perfectly;
      {bf:L.majorpower} omitted and 10 obs not used.

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-778.20141}  
Iteration 1:{space 3}log pseudolikelihood = {res:-420.62087}  
Iteration 2:{space 3}log pseudolikelihood = {res:-283.64086}  
Iteration 3:{space 3}log pseudolikelihood = {res:-257.47889}  
Iteration 4:{space 3}log pseudolikelihood = {res:-249.28213}  
Iteration 5:{space 3}log pseudolikelihood = {res:-247.90442}  
Iteration 6:{space 3}log pseudolikelihood = {res: -247.8728}  
Iteration 7:{space 3}log pseudolikelihood = {res:-247.87279}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:3,755}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:320.50}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-247.87279}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.6815}

{txt}{ralign 81:(Std. err. adjusted for {res:123} clusters in {res:cowcc})}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  nukepursue_JG{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      z{col 49}   P>|z|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}vis_us {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} -1.54835{col 29}{space 2} .5209234{col 40}{space 1}   -2.97{col 49}{space 3}0.003{col 57}{space 4}-2.569341{col 70}{space 3} -.527359
{txt}{space 15} {c |}
{space 6}gdpcap_ln {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .5382975{col 29}{space 2} .3188053{col 40}{space 1}    1.69{col 49}{space 3}0.091{col 57}{space 4}-.0865495{col 70}{space 3} 1.163145
{txt}{space 15} {c |}
{space 7}industry {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}  .805393{col 29}{space 2}  .630354{col 40}{space 1}    1.28{col 49}{space 3}0.201{col 57}{space 4}-.4300781{col 70}{space 3} 2.040864
{txt}{space 15} {c |}
{space 11}demo {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.7202925{col 29}{space 2}  .554285{col 40}{space 1}   -1.30{col 49}{space 3}0.194{col 57}{space 4}-1.806671{col 70}{space 3} .3660862
{txt}{space 15} {c |}
{space 5}majorpower {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 7}conflict {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} 2.268428{col 29}{space 2} .4897022{col 40}{space 1}    4.63{col 49}{space 3}0.000{col 57}{space 4} 1.308629{col 70}{space 3} 3.228227
{txt}{space 15} {c |}
npt_rati_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .5459707{col 29}{space 2} .5237609{col 40}{space 1}    1.04{col 49}{space 3}0.297{col 57}{space 4}-.4805817{col 70}{space 3} 1.572523
{txt}{space 15} {c |}
{space 1}npt_eff_expand {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0020725{col 29}{space 2} .0065573{col 40}{space 1}    0.32{col 49}{space 3}0.752{col 57}{space 4}-.0107796{col 70}{space 3} .0149247
{txt}{space 15} {c |}
{space 12}nca {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}  .887329{col 29}{space 2} .3447469{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} .2116374{col 70}{space 3} 1.563021
{txt}{space 15} {c |}
{space 7}senstech {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .9570373{col 29}{space 2} .4627189{col 40}{space 1}    2.07{col 49}{space 3}0.039{col 57}{space 4} .0501249{col 70}{space 3}  1.86395
{txt}{space 15} {c |}
{space 12}JG1 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} -1.55291{col 29}{space 2} .2655811{col 40}{space 1}   -5.85{col 49}{space 3}0.000{col 57}{space 4} -2.07344{col 70}{space 3}-1.032381
{txt}{space 15} {c |}
{space 12}JG2 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2} .0838396{col 29}{space 2} .0171184{col 40}{space 1}    4.90{col 49}{space 3}0.000{col 57}{space 4} .0502882{col 70}{space 3}  .117391
{txt}{space 15} {c |}
{space 12}JG3 {c |}
{space 12}L1. {c |}{col 17}{res}{space 2}-.0013185{col 29}{space 2} .0003121{col 40}{space 1}   -4.22{col 49}{space 3}0.000{col 57}{space 4}-.0019301{col 70}{space 3}-.0007068
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-3.954859{col 29}{space 2} 1.970895{col 40}{space 1}   -2.01{col 49}{space 3}0.045{col 57}{space 4}-7.817743{col 70}{space 3}-.0919745
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 208 failures and 0 successes completely determined.{p_end}

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\dudtk\Desktop\Leader visits and nuclear pursuit_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 2 Jun 2025, 22:22:49
{txt}{.-}
{smcl}
{txt}{sf}{ul off}